CN103970743A - Method and system for recommending individualized information during search and search engine - Google Patents
Method and system for recommending individualized information during search and search engine Download PDFInfo
- Publication number
- CN103970743A CN103970743A CN201310028516.2A CN201310028516A CN103970743A CN 103970743 A CN103970743 A CN 103970743A CN 201310028516 A CN201310028516 A CN 201310028516A CN 103970743 A CN103970743 A CN 103970743A
- Authority
- CN
- China
- Prior art keywords
- interest
- search
- user
- search engine
- searching request
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
Abstract
The invention provides a method for recommending individualized information during search. The method comprises the following steps: receiving a search request sent by a user through a client-side, acquiring identity information of the user, acquiring at least one preset interest point that the search request belongs to and updating the attribute information of the user in the preset interest point by a search engine; sending a search result and the attribute information of the user in the preset interest point to the client-side; summarizing the attribute information of the user in all the preset interest points by the search engine, and when the attribute information corresponding to the preset interest point in all the preset interest points is larger than a preset value, recommending the information related to the preset interest point to the user. According to the embodiment of the invention, the search interest of the user can be improved, better recommending effect is provided to the user, and the source utilizing rate of the search engine is improved, so that higher commercial value is brought. The invention further provides a system for recommending individualized information during search and the search engine.
Description
Technical field
The present invention relates to search engine technique field, particularly a kind of recommendation method for personalized information, system and search engine in search.
Background technology
At present, growing along with internet, user can find own interested things by internet whenever and wherever possible.But, for current search engine, be difficult to attract constantly user to use, this is the search need that only can meet user due to current search engine, for example: user passes through inputted search word etc., and search engine represents Search Results to user, and ways of presentation is single, lack man-machine interaction and experience, be difficult to attract user, make user lose the interest that user uses search engine to search for.Thereby can not meet well user's experience, cause user to reduce the utilization rate of search engine.
Summary of the invention
The present invention is intended at least solve one of technical matters existing in prior art.
For this reason, first object of the present invention is to propose a kind of recommendation method for personalized information in search, and the method can promote user's search interest, gives the better recommendation results of user, improve the resource utilization of search engine, thereby bring larger commercial value.
Second object of the present invention is to propose a kind of Personalized Information Recommendation System in search.
The 3rd object of the present invention is to propose a kind of search engine.
To achieve these goals, first aspect present invention embodiment provides a kind of recommendation method for personalized information in search, comprises the following steps: search engine receives the searching request that user sends by client, and obtains described user's identity information; Described search engine obtains at least one the default point of interest under described searching request to described searching request analysis; Described search engine obtains Search Results according to described searching request, and upgrades the attribute information of described user in described at least one default point of interest; By described Search Results and described user, the attribute information in described at least one default point of interest is sent to described client to described search engine; And described search engine is added up the attribute information of described user in all default points of interest, in the time that in described all default points of interest, attribute information corresponding at least one default point of interest is greater than preset value, described search engine is by extremely described user of the information recommendation relevant to described at least one default point of interest.
According to the recommendation method for personalized information in search of the embodiment of the present invention, can promote user's search interest, the recommendation results of being more satisfied with to user, thus can increase user's stickiness, promote user's enthusiasm, avoid user's loss.In addition, make search engine obtain higher service efficiency, further improve the resource utilization of search engine, after attracting to use this search engine to more user, also can be search engine and bring larger commercial value simultaneously.
In addition, the recommendation method for personalized information in search according to the above embodiment of the present invention can also have following additional technical characterictic:
In some instances, also comprise: described search engine manages the described user grade relevant to default point of interest, in the time that the attribute information of described default point of interest is greater than described preset value, described search engine upgrades described user's associated ratings and by described attribute information zero clearing.
In some instances, described search engine is analyzed further and is comprised described searching request: described search engine carries out word segmentation processing to described searching request, and the result after participle is carried out to semantic analysis to obtain the content of described searching request.
In some instances, the corresponding multiple default points of interest of described searching request.
In some instances, the described information relevant at least one default point of interest comprises one or more in the coupon relevant with described at least one point of interest, free certificate and integration certificate.
In some instances, also comprise: in the time that described search engine receives the searching request that described user sends by described client again, described search engine sorts to Search Results according to the information relevant to corresponding at least one the default point of interest of described searching request
The embodiment of second aspect present invention provides a kind of Personalized Information Recommendation System in search, comprise client and search engine, wherein, described client, for sending searching request to described search engine, and receive the attribute information of Search Results that described search engine returns and default point of interest corresponding to described user, described search engine, for obtaining Search Results according to described searching request and obtaining described user's identity information, and described searching request analysis is obtained at least one the default point of interest under described searching request, and upgrade the attribute information of described user in described at least one default point of interest, with by described Search Results and described user, the attribute information in described at least one default point of interest is sent to described client, and add up the attribute information of described user in all default points of interest, in the time that in described all default points of interest, attribute information corresponding at least one default point of interest is greater than preset value, described search engine is by extremely described user of the information recommendation relevant to described at least one default point of interest.
According to the Personalized Information Recommendation System in search of the embodiment of the present invention, can promote user's search interest, the recommendation results of being more satisfied with to user, thus can increase user's stickiness, promote user's enthusiasm, avoid user's loss.In addition, make search engine obtain higher service efficiency, further improve the resource utilization of search engine, after attracting to use this search engine to more user, also can be search engine and bring larger commercial value simultaneously.
In addition, the Personalized Information Recommendation System in search according to the above embodiment of the present invention can also have following additional technical characterictic:
In some instances, described search engine, also for the described user grade relevant to default point of interest managed, in the time that the attribute information of described default point of interest is greater than described preset value, described search engine upgrades described user's associated ratings and by described attribute information zero clearing.
In some instances, described search engine carries out word segmentation processing to described searching request, and the result after participle is carried out to semantic analysis to obtain the content of described searching request.
In some instances, the corresponding multiple default points of interest of described searching request.
In some instances, the described information relevant at least one default point of interest comprises one or more in the coupon relevant with described at least one point of interest, free certificate and integration certificate.
In some instances, described search engine also for: while again receiving the searching request that described user sends by described client, described search engine sorts to Search Results according to the information relevant to corresponding at least one the default point of interest of described searching request.
The embodiment of third aspect present invention provides a kind of search engine, comprising: receiver module, and the searching request sending by client for receiving user, and obtain described user's identity information; Analysis module, for obtaining at least one the default point of interest under described searching request to described searching request analysis; Search module, for obtaining Search Results according to described searching request; Administration module, for upgrading the attribute information of described user at described at least one default point of interest; Sending module, for being sent to described client by described Search Results and described user at the attribute information of described at least one default point of interest; And recommending module, for adding up the attribute information of described user at all default points of interest, in the time that in described all default points of interest, attribute information corresponding at least one default point of interest is greater than preset value, by extremely described user of the information recommendation relevant to described at least one default point of interest.
According to the search engine of the embodiment of the present invention, can promote user's search interest, the recommendation results of being more satisfied with to user, thus can increase user's stickiness, promote user's enthusiasm, avoid user's loss.In addition, make search engine obtain higher service efficiency, further improve the resource utilization of search engine, after attracting to use this search engine to more user, also can be search engine and bring larger commercial value simultaneously.
In addition, search engine according to the above embodiment of the present invention can also have following additional technical characterictic:
In some instances, described administration module, also for the described user grade relevant to default point of interest managed, in the time that the attribute information of described default point of interest is greater than described preset value, described administration module upgrades described user's associated ratings and by described attribute information zero clearing.
In some instances, described analysis module carries out word segmentation processing to described searching request, and the result after participle is carried out to semantic analysis to obtain the content of described searching request.
In some instances, the corresponding multiple default points of interest of described searching request.
In some instances, the described information relevant at least one default point of interest comprises one or more in the coupon relevant with described at least one point of interest, free certificate and integration certificate.
In some instances, described search module also for: while again receiving the searching request that described user sends by described client, described search module sorts to Search Results according to the information relevant to corresponding at least one the default point of interest of described searching request.
Additional aspect of the present invention and advantage in the following description part provide, and part will become obviously from the following description, or recognize by practice of the present invention.
Brief description of the drawings
Above-mentioned and/or additional aspect of the present invention and advantage accompanying drawing below combination is understood becoming the description of embodiment obviously and easily, wherein:
Fig. 1 is the process flow diagram of the recommendation method for personalized information in search according to an embodiment of the invention;
Fig. 2 is the structural drawing of the Personalized Information Recommendation System in search according to an embodiment of the invention; And
Fig. 3 is the structural drawing of search engine according to an embodiment of the invention.
Embodiment
Describe embodiments of the invention below in detail, the example of described embodiment is shown in the drawings, and wherein same or similar label represents same or similar element or has the element of identical or similar functions from start to finish.Be exemplary below by the embodiment being described with reference to the drawings, only for explaining the present invention, and can not be interpreted as limitation of the present invention.
In description of the invention, term " longitudinally ", " laterally ", " on ", orientation or the position relationship of the instruction such as D score, 'fornt', 'back', " left side ", " right side ", " vertically ", " level ", " top ", " end " be based on orientation shown in the drawings or position relationship, be only the present invention for convenience of description instead of require the present invention with specific orientation structure and operation, therefore can not be interpreted as limitation of the present invention.
With reference to description and accompanying drawing below, these and other aspects of embodiments of the invention will be known.In these descriptions and accompanying drawing, specifically disclose some specific implementations in embodiments of the invention, represent some modes of the principle of implementing embodiments of the invention, but should be appreciated that the scope of embodiments of the invention is not limited.On the contrary, embodiments of the invention comprise all changes, amendment and the equivalent within the scope of spirit and the intension that falls into additional claims.
Describe according to the recommendation method for personalized information in search, system and the search engine of the embodiment of the present invention below in conjunction with accompanying drawing.
Fig. 1 is the process flow diagram of the recommendation method for personalized information in search according to an embodiment of the invention.As shown in Figure 1, the recommendation method for personalized information in search, comprises the steps: according to an embodiment of the invention
Step S101: search engine receives the searching request that user sends by client, and obtain user's identity information.Particularly, client is but is not limited to mobile terminal (smart mobile phone), panel computer and PC etc., further, user can send searching request to search engine by the browser in client, search engine has search engine address, for example with by Baidu's search engine carries out search class seemingly.In one embodiment of the invention, search engine can obtain user's identity information, for example: user registers to search engine etc. by the mode of registration, thereby search engine can get user's identity information, in this example, user's identity information can include but not limited to that address name, user now occupy the information such as ground, user birthplace, user's sex, age, individual subscriber network address, individual subscriber mailbox.In addition, searching request comprises search word, search word or search statement etc.For example: user need to search for the relevant informations such as lottery ticket, can comprise to search engine input the searching request of the search word such as " lottery ticket ", " prize-winning ".
Step S102: search engine obtains at least one the default point of interest under searching request to searching request analysis.
Particularly, search engine can be realized in the following way to searching request analysis, and search engine carries out word segmentation processing to searching request, and the result after participle is carried out to semantic analysis to obtain the content of searching request.For example: searching request comprises search statements such as " being applicable to the game of Android system mobile phone operation ", search engine is the words such as " Android ", " mobile phone " and " game " by " being applicable to the game of Android system mobile phone operation " being carried out to the possibility of result of word segmentation processing, after participle, obtaining one or more word etc., search engine carries out semantic analysis to above-mentioned one or more word, thereby obtains the content of searching request.
In addition, in search engine, can be provided with multiple default points of interest, for example, comprise the multiple default points of interest of " electronic game ", " lottery ticket ", " electronic product " etc.Search engine is by carrying out obtaining the word such as " Android ", " mobile phone " and " game " after word segmentation processing to " be applicable to Android system mobile phone operation game ", can judge the searching request that " is applicable to the game of Android system mobile phone operation " above-mentioned comprising and belong to " electronic game " and " electronic product " two default points of interest, i.e. game belongs to electronic game, and mobile phone belongs to electronic product.Be that searching request can corresponding multiple default points of interest.
Step S103: search engine obtains Search Results according to searching request, and upgrade the attribute information of user at least one default point of interest.
Wherein, the attribute information in default point of interest can be used for reacting the height of the level of interest of user to a default point of interest.For example comprise the information such as achievement value and empirical value, after each search engine obtains the same default point of interest under searching request to same user's searching request analysis, can add up to achievement value and the empirical value of this default point of interest, achievement value and empirical value are higher, represent that the level of interest of the default point of interest of user to correspondence is higher.Specifically, for example: for default point of interest is " game ", the searching request of searching for when a certain user's Multiple through then out search engine all belongs to default point of interest corresponding to " game ", can think that on the one hand this user is interested in game, in search engine, can upgrade the attribute information in above-mentioned default point of interest corresponding to this user on the other hand, as achievement value and empirical value are added up, in addition, achievement value and empirical value can be corresponding, suppose the empirical value of 1 achievement value correspondence 100, 1 achievement value of every increase, empirical value increases by 100.
Further, search engine can manage user's grade relevant to default point of interest, and in the time that the attribute information of default point of interest is greater than preset value, search engine upgrades user's associated ratings and by attribute information zero clearing.For example often be increased to 1000 empirical value, user's associated ratings rises one-level, particularly, preset value can be made as to 1000,, after empirical value is increased to 1000, user's grade rises one-level, user's rank is higher, illustrates that the level of interest of the default point of interest of user to correspondence is higher.In addition, in search engine, also can provide distinctive authority according to the high user of user's grade In Grade, for example: when user gradation is higher, the more or Downloadable quantity of information of the quantity of information that can obtain is more etc. from search engine.
Step S104: the attribute information at least one default point of interest is sent to client to search engine by Search Results and user.For example: the achievement value and empirical value and the Search Results etc. that in client, show the default point of interest of user to correspondence.
Step S105: the attribute information of search engine counting user in all default points of interest, in the time that in all default points of interest, attribute information corresponding at least one default point of interest is greater than preset value, search engine by the information recommendation relevant at least one default point of interest to user.For example, for a default point of interest, when user is in the time that user gradation corresponding to this default point of interest reaches 10 grades, search engine can be by the information recommendation relevant to this default point of interest to user, wherein, relevant information can be rewarded etc. for some, for example: the information relevant at least one default point of interest comprises one or more in the coupon relevant with at least one point of interest, free certificate and integration certificate.Certainly, also can be other coupon etc.In one embodiment of the invention, search engine can be realized by integration system granting of above-mentioned reward voucher etc., for example: can provide coupon, free certificate and integration certificate or according to default point of interest advertisement etc. according to default point of interest, in this example, coupon, free certificate and integration certificate are classified according to default point of interest, thereby complete by type integration system.By pushing the relevant information of above-mentioned default point of interest, be a kind of honor for user to a certain extent, therefore, between different user, can unrealistically compare and exchange, strengthen to a certain extent the social activity demand of search.Like this, can increase user's stickiness, promote user's enthusiasm and meet user's needs, avoid user's loss, thereby make search engine obtain higher service efficiency, further improve the resource utilization of search engine, after attracting to use this search engine to more user, also can be search engine and bring larger commercial value simultaneously.
In one embodiment of the invention, also comprise: in the time that described search engine receives the searching request that described user sends by described client again, described search engine sorts to Search Results according to the information relevant to corresponding at least one the default point of interest of described searching request.Particularly, after obtaining at least one point of interest of a user, when user is in the time that this searches for, Search Results can be more accurate.For example: a default point of interest supposing a user is " electronic product ", in the time of user's inputted search word " apple ", search engine can be by electronic product corresponding to " apple ", the prostatitis that is placed on Search Results as the product related information such as iphone, ipad etc. is shown to user, and puts behind for the Search Results of the apple relevant to fruit.Like this, search engine improves the accuracy to Search Results, and its Search Results tends to user for the apple electronic product under default point of interest " electronic product ".Thereby improve man-machine interaction experience effect.
According to the recommendation method for personalized information in search of the embodiment of the present invention, can promote user's search interest, the recommendation results of being more satisfied with to user, thus can increase user's stickiness, promote user's enthusiasm, avoid user's loss.In addition, make search engine obtain higher service efficiency, further improve the resource utilization of search engine, after attracting to use this search engine to more user, also can be search engine and bring larger commercial value simultaneously.In addition, the method can effectively improve man-machine experience effect.
Fig. 2 is the structural drawing of the Personalized Information Recommendation System in search according to an embodiment of the invention.As shown in Figure 2, the Personalized Information Recommendation System 200 in search according to an embodiment of the invention, comprising: client 210 and search engine 220.
Wherein, client 210 is for sending searching request to search engine 220, and receives the attribute information of Search Results that search engine 220 returns and default point of interest corresponding to user.Search engine 220 is for obtaining Search Results and obtaining user's identity information according to searching request, and searching request analysis is obtained at least one the default point of interest under searching request, and the attribute information of renewal user at least one default point of interest, for example, with by Search Results and user, the attribute information at least one default point of interest is sent to client 210: the achievement value and empirical value and the Search Results etc. that show the default point of interest of user to correspondence in client 210.Search engine 220 also can the attribute information of counting user in all default points of interest, in the time that in all default points of interest, attribute information corresponding at least one default point of interest is greater than preset value, search engine 220 by the information recommendation relevant at least one default point of interest to user.
Specifically, client 210 is but is not limited to mobile terminal (smart mobile phone), panel computer and PC etc., further, user can send searching request to search engine 220 by the browser in client 210, search engine 220 has search engine address, for example with by Baidu's search engine carries out search class seemingly.In one embodiment of the invention, search engine 220 can obtain user's identity information, for example: user registers to search engine 220 etc. by the mode of registration, thereby search engine 220 can get user's identity information, in this example, user's identity information can include but not limited to that address name, user now occupy the information such as ground, user birthplace, user's sex, age, individual subscriber network address, individual subscriber mailbox.In addition, searching request comprises search word, search word or search statement etc.For example: user need to search for the relevant informations such as lottery ticket, can comprise to search engine input the searching request of the search word such as " lottery ticket ", " prize-winning ".
Search engine 220 can be realized in the following way to searching request analysis, and search engine 220 carries out word segmentation processing to searching request, and the result after participle is carried out to semantic analysis to obtain the content of searching request.For example: searching request comprises search statements such as " being applicable to the game of Android system mobile phone operation ", search engine is the words such as " Android ", " mobile phone " and " game " by " being applicable to the game of Android system mobile phone operation " being carried out to the possibility of result of word segmentation processing, after participle, obtaining one or more word etc., search engine carries out semantic analysis to above-mentioned one or more word, thereby obtains the content of searching request.
In addition, in search engine 220, can be provided with multiple default points of interest, for example, comprise the multiple default points of interest of " electronic game ", " lottery ticket ", " electronic product " etc.Search engine 220 is by carrying out obtaining the word such as " Android ", " mobile phone " and " game " after word segmentation processing to " be applicable to Android system mobile phone operation game ", can judge the searching request that " is applicable to the game of Android system mobile phone operation " above-mentioned comprising and belong to " electronic game " and " electronic product " two default points of interest, i.e. game belongs to electronic game, and mobile phone belongs to electronic product.Be that searching request can corresponding multiple default points of interest.
Further, the attribute information in default point of interest can be used for reacting the height of the level of interest of user to a default point of interest.For example comprise the information such as achievement value and empirical value, after each search engine 220 obtains the same default point of interest under searching request to same user's searching request analysis, can add up to achievement value and the empirical value of this default point of interest, achievement value and empirical value are higher, represent that the level of interest of the default point of interest of user to correspondence is higher.Specifically, for example: for default point of interest is " game ", the searching request of searching for when a certain user's Multiple through then out search engine 220 all belongs to default point of interest corresponding to " game ", can think that on the one hand this user is interested in game, in search engine, can upgrade the attribute information in above-mentioned default point of interest corresponding to this user on the other hand, as achievement value and empirical value are added up, in addition, achievement value and empirical value can be corresponding, suppose the empirical value of 1 achievement value correspondence 100, 1 achievement value of every increase, empirical value increases by 100.
Further, search engine 220 also can be used for user's grade relevant to default point of interest to manage, and in the time that the attribute information of default point of interest is greater than preset value, search engine 220 upgrades user's associated ratings and by attribute information zero clearing.For example often be increased to 1000 empirical value, user's associated ratings rises one-level, particularly, preset value can be made as to 1000,, after empirical value is increased to 1000, user's grade rises one-level, user's rank is higher, illustrates that the level of interest of the default point of interest of user to correspondence is higher.In addition, in search engine 220, also can provide distinctive authority according to the high user of user's grade In Grade, for example: when user gradation is higher, the more or Downloadable quantity of information of the quantity of information that can obtain is more etc. from search engine 220.
In one embodiment of the invention, for a default point of interest, when user is in the time that user gradation corresponding to this default point of interest reaches 10 grades, search engine 220 can be by the information recommendation relevant to this default point of interest to user (client 210), wherein, relevant information can be rewarded etc. for some, for example: the information relevant at least one default point of interest comprises one or more in the coupon relevant with at least one point of interest, free certificate and integration certificate.Certainly, also can be other coupon etc.In one embodiment of the invention, search engine can be realized by integration system granting of above-mentioned reward voucher etc., for example: can provide coupon, free certificate and integration certificate or according to default point of interest advertisement etc. according to default point of interest, in this example, coupon, free certificate and integration certificate are classified according to default point of interest, thereby complete by type integration system.By pushing the relevant information of above-mentioned default point of interest, be a kind of honor for user to a certain extent, therefore, between different user, can unrealistically compare and exchange, strengthen to a certain extent the social activity demand of search.Like this, can increase user's stickiness, promote user's enthusiasm and meet user's needs, avoid user's loss, thereby make search engine 220 obtain higher service efficiency, further improve the resource utilization of search engine 220, after attracting to use this search engine to more user, also can be search engine 220 and bring larger commercial value simultaneously.
In one embodiment of the invention, search engine also for: while again receiving the searching request that described user sends by described client, described search engine sorts to Search Results according to the information relevant to corresponding at least one the default point of interest of described searching request.Particularly, after obtaining at least one point of interest of a user, when user is in the time that this searches for, Search Results can be more accurate.For example: a default point of interest supposing a user is " electronic product ", in the time of user's inputted search word " apple ", search engine can be by electronic product corresponding to " apple ", the prostatitis that is placed on Search Results as the product related information such as iphone, ipad etc. is shown to user, and puts behind for the Search Results of the apple relevant to fruit.Like this, search engine improves the accuracy to Search Results, and its Search Results tends to user for the apple electronic product under default point of interest " electronic product ".Thereby improve man-machine interaction experience effect.
According to the Personalized Information Recommendation System in search of the embodiment of the present invention, can promote user's search interest, the recommendation results of being more satisfied with to user, thus can increase user's stickiness, promote user's enthusiasm, avoid user's loss.In addition, make search engine obtain higher service efficiency, further improve the resource utilization of search engine, after attracting to use this search engine to more user, also can be search engine and bring larger commercial value simultaneously.In addition, should there is better man-machine experience effect by the Personalized Information Recommendation System in search.
Fig. 3 is the structural drawing of search engine according to an embodiment of the invention.As shown in Figure 2, search engine 220 according to an embodiment of the invention, comprising: receiver module 221, analysis module 222, search module 223, administration module 224, sending module 225 and recommending module 226.
Wherein, the searching request that receiver module 221 sends by client 210 for receiving user, and obtain user's identity information.Analysis module 222 is for obtaining at least one the default point of interest under searching request to searching request analysis.Search module 223 is for obtaining Search Results according to searching request.Administration module 224 is for upgrading the attribute information of user at least one default point of interest.Sending module 225 is for being sent to client 210 by Search Results and user at the attribute information of at least one default point of interest.Recommending module 226 is the attribute information at all default points of interest for counting user, in the time that in all default points of interest, attribute information corresponding at least one default point of interest is greater than preset value, by the information recommendation relevant at least one default point of interest to user.
Specifically, client 210 is but is not limited to mobile terminal (smart mobile phone), panel computer and PC etc., further, user can send searching request to the receiver module 221 of search engine 220 by the browser in client 210, search engine 220 has search engine address, for example with by Baidu's search engine carries out search class seemingly.In one embodiment of the invention, the receiver module 221 of search engine 220 can obtain user's identity information, for example: user registers to search engine 220 etc. by the mode of registration, thereby the receiver module 221 of search engine 220 can get user's identity information, in this example, user's identity information can include but not limited to that address name, user now occupy the information such as ground, user birthplace, user's sex, age, individual subscriber network address, individual subscriber mailbox.In addition, searching request comprises search word, search word or search statement etc.For example: user need to search for the relevant informations such as lottery ticket, can comprise to search engine input the searching request of the search word such as " lottery ticket ", " prize-winning ".
The analysis module 222 of search engine 220 can be realized in the following way to searching request analysis, and analysis module 222 carries out word segmentation processing to searching request, and the result after participle is carried out to semantic analysis to obtain the content of searching request.For example: searching request comprises search statements such as " being applicable to the game of Android system mobile phone operation ", search engine is the words such as " Android ", " mobile phone " and " game " by " being applicable to the game of Android system mobile phone operation " being carried out to the possibility of result of word segmentation processing, after participle, obtaining one or more word etc., search engine carries out semantic analysis to above-mentioned one or more word, thereby obtains the content of searching request.
In addition, in the analysis module 222 of search engine 220, can be provided with multiple default points of interest, for example, comprise the multiple default points of interest of " electronic game ", " lottery ticket ", " electronic product " etc.Analysis module 222 is by carrying out obtaining the word such as " Android ", " mobile phone " and " game " after word segmentation processing to " be applicable to Android system mobile phone operation game ", can judge the searching request that " is applicable to the game of Android system mobile phone operation " above-mentioned comprising and belong to " electronic game " and " electronic product " two default points of interest, i.e. game belongs to the point of interest of electronic game, and mobile phone belongs to the point of interest of electronic product.Be that searching request can corresponding multiple default points of interest.
Further, the attribute information in default point of interest can be used for reacting the height of the level of interest of user to a default point of interest.For example comprise the information such as achievement value and empirical value, after same user's searching request analysis being obtained to the same default point of interest under searching request at every turn, can add up to achievement value and the empirical value of this default point of interest, achievement value and empirical value are higher, represent that the level of interest of the default point of interest of user to correspondence is higher.Specifically, for example: for default point of interest is " game ", the searching request of searching for when a certain user's Multiple through then out search module 223 all belongs to default point of interest corresponding to " game ", can think that on the one hand this user is interested in game, in search engine, can upgrade the attribute information in above-mentioned default point of interest corresponding to this user on the other hand, as achievement value and empirical value are added up, in addition, achievement value and empirical value can be corresponding, suppose the empirical value of 1 achievement value correspondence 100, 1 achievement value of every increase, empirical value increases by 100.
Further, the administration module 224 of search engine 220 also can be used for user's grade relevant to default point of interest to manage, in the time that the attribute information of default point of interest is greater than preset value, search engine 220 upgrades user's associated ratings and by attribute information zero clearing.For example often be increased to 1000 empirical value, user's associated ratings rises one-level, particularly, preset value can be made as to 1000,, after empirical value is increased to 1000, user's grade rises one-level, user's rank is higher, illustrates that the level of interest of the default point of interest of user to correspondence is higher.In addition, in search engine 220, also can provide distinctive authority according to the high user of user's grade In Grade, for example: when user gradation is higher, the more or Downloadable quantity of information of the quantity of information that can obtain is more etc. from search engine 220.
In one embodiment of the invention, for a default point of interest, when user is in the time that user gradation corresponding to this default point of interest reaches 10 grades, the recommending module 226 of search engine 220 can be by the information recommendation relevant to this default point of interest to user (client 210), wherein, relevant information can be rewarded etc. for some, for example: the information relevant at least one default point of interest comprises one or more in the coupon relevant with at least one point of interest, free certificate and integration certificate.Certainly, also can be other coupon etc.In one embodiment of the invention, search engine can be realized by integration system granting of above-mentioned reward voucher etc., for example: can provide coupon, free certificate and integration certificate or according to default point of interest advertisement etc. according to default point of interest, in this example, coupon, free certificate and integration certificate are classified according to default point of interest, thereby complete by type integration system.By pushing the relevant information of above-mentioned default point of interest, be a kind of honor for user to a certain extent, therefore, between different user, can unrealistically compare and exchange, strengthen to a certain extent the social activity demand of search.Like this, can increase user's stickiness, promote user's enthusiasm and meet user's needs, avoid user's loss, thereby make search engine 220 obtain higher service efficiency, further improve the resource utilization of search engine 220, after attracting to use this search engine to more user, also can be search engine 220 and bring larger commercial value simultaneously.
In one embodiment of the invention, search module 223 also for: while again receiving the searching request that described user sends by described client, described search module sorts to Search Results according to the information relevant to corresponding at least one the default point of interest of described searching request.Particularly, after obtaining at least one point of interest of a user, when user is in the time that this searches for, Search Results can be more accurate.For example: a default point of interest supposing a user is " electronic product ", in the time of user's inputted search word " apple ", search engine can be by electronic product corresponding to " apple ", the prostatitis that is placed on Search Results as the product related information such as iphone, ipad etc. is shown to user, and puts behind for the Search Results of the apple relevant to fruit.Like this, search engine improves the accuracy to Search Results, and its Search Results tends to user for the apple electronic product under default point of interest " electronic product ".Thereby improve man-machine interaction experience effect.
According to the search engine of the embodiment of the present invention, can promote user's search interest, the recommendation results of being more satisfied with to user, thus can increase user's stickiness, promote user's enthusiasm, avoid user's loss.In addition, make search engine obtain higher service efficiency, further improve the resource utilization of search engine, after attracting to use this search engine to more user, also can be search engine and bring larger commercial value simultaneously.
The logic and/or the step that in process flow diagram, represent or otherwise describe at this, for example, can be considered to the sequencing list of the executable instruction for realizing logic function, may be embodied in any computer-readable medium, use for instruction execution system, device or equipment (as computer based system, comprise that the system of processor or other can and carry out the system of instruction from instruction execution system, device or equipment instruction fetch), or use in conjunction with these instruction execution systems, device or equipment.With regard to this instructions, " computer-readable medium " can be anyly can comprise, device that storage, communication, propagation or transmission procedure use for instruction execution system, device or equipment or in conjunction with these instruction execution systems, device or equipment.
The example more specifically (non-exhaustive list) of computer-readable medium comprises following: the electrical connection section (electronic installation) with one or more wirings, portable computer diskette box (magnetic device), random-access memory (ram), ROM (read-only memory) (ROM), the erasable ROM (read-only memory) (EPROM or flash memory) of editing, fiber device, and portable optic disk ROM (read-only memory) (CDROM).In addition, computer-readable medium can be even paper or other the suitable medium that can print described program thereon, because can be for example by paper or other media be carried out to optical scanning, then edit, decipher or process in electronics mode and obtain described program with other suitable methods if desired, be then stored in computer memory.
Should be appreciated that each several part of the present invention can realize with hardware, software, firmware or their combination.In the above-described embodiment, multiple steps or method can realize with being stored in software or the firmware carried out in storer and by suitable instruction execution system.For example, if realized with hardware, the same in another embodiment, can realize by any one in following technology well known in the art or their combination: there is the discrete logic for data-signal being realized to the logic gates of logic function, there is the special IC of suitable combinational logic gate circuit, programmable gate array (PGA), field programmable gate array (FPGA) etc.
In the description of this instructions, the description of reference term " embodiment ", " some embodiment ", " example ", " concrete example " or " some examples " etc. means to be contained at least one embodiment of the present invention or example in conjunction with specific features, structure, material or the feature of this embodiment or example description.In this manual, the schematic statement of above-mentioned term is not necessarily referred to identical embodiment or example.And specific features, structure, material or the feature of description can be with suitable mode combination in any one or more embodiment or example.
Although illustrated and described embodiments of the invention, those having ordinary skill in the art will appreciate that: in the situation that not departing from principle of the present invention and aim, can carry out multiple variation, amendment, replacement and modification to these embodiment, scope of the present invention is limited by claim and equivalent thereof.
Claims (18)
1. the recommendation method for personalized information in search, is characterized in that, comprises the following steps:
Search engine receives the searching request that user sends by client, and obtains described user's identity information;
Described search engine obtains at least one the default point of interest under described searching request to described searching request analysis;
Described search engine obtains Search Results according to described searching request, and upgrades the attribute information of described user in described at least one default point of interest;
By described Search Results and described user, the attribute information in described at least one default point of interest is sent to described client to described search engine; And
Described search engine is added up the attribute information of described user in all default points of interest, in the time that in described all default points of interest, attribute information corresponding at least one default point of interest is greater than preset value, described search engine is by extremely described user of the information recommendation relevant to described at least one default point of interest.
2. the recommendation method for personalized information in search as claimed in claim 1, is characterized in that, also comprises:
Described search engine manages the described user grade relevant to default point of interest, and in the time that the attribute information of described default point of interest is greater than described preset value, described search engine upgrades described user's associated ratings and by described attribute information zero clearing.
3. the recommendation method for personalized information in search as claimed in claim 1 or 2, is characterized in that, described search engine is analyzed further and comprised described searching request:
Described search engine carries out word segmentation processing to described searching request, and the result after participle is carried out to semantic analysis to obtain the content of described searching request.
4. the recommendation method for personalized information in search as described in claim 1-3 any one, is characterized in that, the corresponding multiple default points of interest of described searching request.
5. the recommendation method for personalized information in search as described in claim 1-3 any one, it is characterized in that, the described information relevant at least one default point of interest comprises one or more in the coupon relevant with described at least one point of interest, free certificate and integration certificate.
6. the recommendation method for personalized information in search as claimed in claim 1, is characterized in that, also comprises:
In the time that described search engine receives the searching request that described user sends by described client again, described search engine sorts to Search Results according to the information relevant to corresponding at least one the default point of interest of described searching request.
7. the Personalized Information Recommendation System in search, is characterized in that, comprises client and search engine, wherein,
Described client, for sending searching request to described search engine, and receives the attribute information of Search Results that described search engine returns and default point of interest corresponding to described user;
Described search engine, for obtaining Search Results according to described searching request and obtaining described user's identity information, and described searching request analysis is obtained at least one the default point of interest under described searching request, and upgrade the attribute information of described user in described at least one default point of interest, with by described Search Results and described user, the attribute information in described at least one default point of interest is sent to described client, and add up the attribute information of described user in all default points of interest, in the time that in described all default points of interest, attribute information corresponding at least one default point of interest is greater than preset value, described search engine is by extremely described user of the information recommendation relevant to described at least one default point of interest.
8. the Personalized Information Recommendation System in search as claimed in claim 7, it is characterized in that, described search engine, also for the described user grade relevant to default point of interest managed, in the time that the attribute information of described default point of interest is greater than described preset value, described search engine upgrades described user's associated ratings and by described attribute information zero clearing.
9. the Personalized Information Recommendation System in search as claimed in claim 7, is characterized in that, described search engine carries out word segmentation processing to described searching request, and the result after participle is carried out to semantic analysis to obtain the content of described searching request.
10. the Personalized Information Recommendation System in search as claimed in claim 7, is characterized in that, the corresponding multiple default points of interest of described searching request.
11. Personalized Information Recommendation Systems in search as claimed in claim 7, it is characterized in that, the described information relevant at least one default point of interest comprises one or more in the coupon relevant with described at least one point of interest, free certificate and integration certificate.
12. Personalized Information Recommendation Systems in search as claimed in claim 7, is characterized in that, described search engine also for:
While again receiving the searching request that described user sends by described client, described search engine sorts to Search Results according to the information relevant to corresponding at least one the default point of interest of described searching request.
13. 1 kinds of search engines, is characterized in that, comprising:
Receiver module, the searching request sending by client for receiving user, and obtain described user's identity information;
Analysis module, for obtaining at least one the default point of interest under described searching request to described searching request analysis;
Search module, for obtaining Search Results according to described searching request;
Administration module, for upgrading the attribute information of described user at described at least one default point of interest;
Sending module, for being sent to described client by described Search Results and described user at the attribute information of described at least one default point of interest; And
Recommending module, for adding up the attribute information of described user at all default points of interest, in the time that in described all default points of interest, attribute information corresponding at least one default point of interest is greater than preset value, by extremely described user of the information recommendation relevant to described at least one default point of interest.
14. search engines as claimed in claim 13, it is characterized in that, described administration module, also for the described user grade relevant to default point of interest managed, in the time that the attribute information of described default point of interest is greater than described preset value, described administration module upgrades described user's associated ratings and by described attribute information zero clearing.
15. search engines as claimed in claim 13, is characterized in that, described analysis module carries out word segmentation processing to described searching request, and the result after participle is carried out to semantic analysis to obtain the content of described searching request.
16. search engines as claimed in claim 13, is characterized in that, the corresponding multiple default points of interest of described searching request.
17. search engines as claimed in claim 13, is characterized in that, the described information relevant at least one default point of interest comprises one or more in the coupon relevant with described at least one point of interest, free certificate and integration certificate.
18. Personalized Information Recommendation Systems in search as claimed in claim 13, is characterized in that, described search module also for:
While again receiving the searching request that described user sends by described client, described search module sorts to Search Results according to the information relevant to corresponding at least one the default point of interest of described searching request.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310028516.2A CN103970743B (en) | 2013-01-24 | 2013-01-24 | A kind of recommendation method for personalized information, system and search engine in the search |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310028516.2A CN103970743B (en) | 2013-01-24 | 2013-01-24 | A kind of recommendation method for personalized information, system and search engine in the search |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103970743A true CN103970743A (en) | 2014-08-06 |
| CN103970743B CN103970743B (en) | 2017-10-31 |
Family
ID=51240259
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310028516.2A Active CN103970743B (en) | 2013-01-24 | 2013-01-24 | A kind of recommendation method for personalized information, system and search engine in the search |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103970743B (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104598607A (en) * | 2015-01-29 | 2015-05-06 | 百度在线网络技术（北京）有限公司 | Method and system for recommending search phrase |
| CN105955949A (en) * | 2016-04-29 | 2016-09-21 | 华南师范大学 | Big data search-based humorous robot dialogue control method and system |
| WO2016192309A1 (en) * | 2015-06-02 | 2016-12-08 | 百度在线网络技术（北京）有限公司 | Pushed information processing method, apparatus, and device, and non-volatile computer storage medium |
| CN107357797A (en) * | 2016-05-10 | 2017-11-17 | 滴滴（中国）科技有限公司 | A kind of information-pushing method and device |
| CN107423349A (en) * | 2017-05-18 | 2017-12-01 | 福建中金在线信息科技有限公司 | A kind of method and system of full-text search |
| CN107944897A (en) * | 2016-10-13 | 2018-04-20 | 阿里巴巴集团控股有限公司 | Data label dissemination system, method, server and client side |
| CN107977863A (en) * | 2017-12-06 | 2018-05-01 | 北京小米移动软件有限公司 | Pushed information method, apparatus and computer-readable recording medium |
| CN109510874A (en) * | 2018-12-13 | 2019-03-22 | 北京字节跳动网络技术有限公司 | Electronic certificate method for pushing, device and electronic equipment based on LBS |
| CN111259230A (en) * | 2018-12-03 | 2020-06-09 | 北京奇虎科技有限公司 | Search implementation method and server |
| US10970344B2 (en) | 2016-05-10 | 2021-04-06 | Beijing Didi Infinity Technology And Development Co., Ltd. | Systems and methods for recommending personalized content |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1811780A (en) * | 2006-03-03 | 2006-08-02 | 中国移动通信集团公司 | Searching system and method based on personalized information |
| CN101079071A (en) * | 2007-06-20 | 2007-11-28 | 华为技术有限公司 | Advertisement correlation method of vertical search engine and vertical search advertisement system |
| CN101375306A (en) * | 2006-04-19 | 2009-02-25 | 吉市有限公司 | System and method for providing user-customized event |
| WO2010006062A1 (en) * | 2008-07-09 | 2010-01-14 | Loopt, Inc. | Social networking services for a location-aware mobile communication device |
| CN101887437A (en) * | 2009-05-12 | 2010-11-17 | 阿里巴巴集团控股有限公司 | Search result generating method and information search system |
| US20110289015A1 (en) * | 2010-05-21 | 2011-11-24 | Microsoft Corporation | Mobile device recommendations |
| CN102456044A (en) * | 2010-10-29 | 2012-05-16 | 腾讯科技（深圳）有限公司 | Method and system for pushing information |
| CN102831199A (en) * | 2012-08-07 | 2012-12-19 | 北京奇虎科技有限公司 | Method and device for establishing interest model |
-
2013
- 2013-01-24 CN CN201310028516.2A patent/CN103970743B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1811780A (en) * | 2006-03-03 | 2006-08-02 | 中国移动通信集团公司 | Searching system and method based on personalized information |
| CN101375306A (en) * | 2006-04-19 | 2009-02-25 | 吉市有限公司 | System and method for providing user-customized event |
| CN101079071A (en) * | 2007-06-20 | 2007-11-28 | 华为技术有限公司 | Advertisement correlation method of vertical search engine and vertical search advertisement system |
| WO2010006062A1 (en) * | 2008-07-09 | 2010-01-14 | Loopt, Inc. | Social networking services for a location-aware mobile communication device |
| CN101887437A (en) * | 2009-05-12 | 2010-11-17 | 阿里巴巴集团控股有限公司 | Search result generating method and information search system |
| US20110289015A1 (en) * | 2010-05-21 | 2011-11-24 | Microsoft Corporation | Mobile device recommendations |
| CN102456044A (en) * | 2010-10-29 | 2012-05-16 | 腾讯科技（深圳）有限公司 | Method and system for pushing information |
| CN102831199A (en) * | 2012-08-07 | 2012-12-19 | 北京奇虎科技有限公司 | Method and device for establishing interest model |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104598607A (en) * | 2015-01-29 | 2015-05-06 | 百度在线网络技术（北京）有限公司 | Method and system for recommending search phrase |
| CN104598607B (en) * | 2015-01-29 | 2018-10-30 | 百度在线网络技术（北京）有限公司 | Recommend the method and system of search phrase |
| WO2016192309A1 (en) * | 2015-06-02 | 2016-12-08 | 百度在线网络技术（北京）有限公司 | Pushed information processing method, apparatus, and device, and non-volatile computer storage medium |
| CN105955949A (en) * | 2016-04-29 | 2016-09-21 | 华南师范大学 | Big data search-based humorous robot dialogue control method and system |
| CN105955949B (en) * | 2016-04-29 | 2018-05-29 | 华南师范大学 | Humorous humanoid robot dialog control method and system based on big data search |
| CN107357797B (en) * | 2016-05-10 | 2020-12-25 | 北京嘀嘀无限科技发展有限公司 | Information pushing method and device |
| CN107357797A (en) * | 2016-05-10 | 2017-11-17 | 滴滴（中国）科技有限公司 | A kind of information-pushing method and device |
| US10970344B2 (en) | 2016-05-10 | 2021-04-06 | Beijing Didi Infinity Technology And Development Co., Ltd. | Systems and methods for recommending personalized content |
| CN107944897A (en) * | 2016-10-13 | 2018-04-20 | 阿里巴巴集团控股有限公司 | Data label dissemination system, method, server and client side |
| CN107423349A (en) * | 2017-05-18 | 2017-12-01 | 福建中金在线信息科技有限公司 | A kind of method and system of full-text search |
| CN107977863A (en) * | 2017-12-06 | 2018-05-01 | 北京小米移动软件有限公司 | Pushed information method, apparatus and computer-readable recording medium |
| CN111259230A (en) * | 2018-12-03 | 2020-06-09 | 北京奇虎科技有限公司 | Search implementation method and server |
| CN109510874A (en) * | 2018-12-13 | 2019-03-22 | 北京字节跳动网络技术有限公司 | Electronic certificate method for pushing, device and electronic equipment based on LBS |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103970743B (en) | 2017-10-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103970743A (en) | Method and system for recommending individualized information during search and search engine | |
| CN105791157B (en) | A kind of distribution method of flow, distribution system and server | |
| CN108900923B (en) | Method and device for recommending live broadcast template | |
| CN109145204B (en) | Portrait label generation and use method and system | |
| CN101854312B (en) | System and method for utilizing a transport structure in a social network environment | |
| WO2017041532A1 (en) | Information pushing method and device | |
| CN103927354A (en) | Interactive searching and recommending method and device | |
| CN104866969A (en) | Personal credit data processing method and device | |
| US10402465B1 (en) | Content authority ranking using browsing behavior | |
| CN102915380A (en) | Method and system for carrying out searching on data | |
| CN103914529A (en) | Search displaying method and search displaying device | |
| CN106126570B (en) | Information service system | |
| CN104504133A (en) | Application program recommending method and device | |
| Sandholm et al. | Real-time, location-aware collaborative filtering of web content | |
| US20150058136A1 (en) | Attribute based coupon provisioning | |
| CN104111925A (en) | Item recommendation method and device | |
| US20220053061A1 (en) | Managing data transmissions based on a user's digital footprint | |
| CN104133765A (en) | Test case sending method and test case server of network activities | |
| CN104484406A (en) | Recommended data issuing analysis method and recommended data issuing analysis device | |
| CN103354556A (en) | Message prompt method used for realizing sharing user and equipment thereof | |
| CN108960911A (en) | Ad revenue acquisition methods and device | |
| CN110889029B (en) | Urban target recommendation method and device | |
| CN112463994B (en) | Multimedia resource display method, device, system and storage medium | |
| CN103188324A (en) | Vehicle-mounted information displaying system | |
| CN114285896B (en) | Information pushing method, device, equipment, storage medium and program product |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| EE01 | Entry into force of recordation of patent licensing contract | ||
| EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20140806 Assignee: SHANGHAI YOUYANG NEW MEDIA INFORMATION TECHNOLOGY Co.,Ltd. Assignor: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY Co.,Ltd. Contract record no.: X2019110000007 Denomination of invention: Method and system for recommending individualized information during search and search engine Granted publication date: 20171031 License type: Common License Record date: 20191218 |