CN102236719A - Page search engine based on page classification and quick search method - Google Patents
Page search engine based on page classification and quick search method Download PDFInfo
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- CN102236719A CN102236719A CN2011102076463A CN201110207646A CN102236719A CN 102236719 A CN102236719 A CN 102236719A CN 2011102076463 A CN2011102076463 A CN 2011102076463A CN 201110207646 A CN201110207646 A CN 201110207646A CN 102236719 A CN102236719 A CN 102236719A
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Abstract
The invention discloses a search engine having a classification displaying function and a quick search method. The search engine comprises a classification module which is positioned at a server end, wherein the classification module is used for classifying each page according to a book classification method of Chinese libraries and storing classification result indexes into a page index library; and a result display module displays page indexes which are matched with keywords and page classification which is relevant to the keywords in a columnar mode. By page classification information, the search engine better assists a user to more quickly and more accurately find pages in which the user is interested according to the classes of the pages through search engine.
Description
Technical field
The invention belongs to the search engine optimization technical field, be specifically related to a kind of web page search engine and fast searching method based on Web page classifying.
Background technology
Along with the fast development of Internet technology, all there are every day a large amount of new webpages the sharp increase of internet web page quantity to occur.Comprised abundant information in the internet web page, how from the magnanimity information that a large amount of webpage comprised, to have searched institute's information of interest apace and just seem particularly important.If can not be from internet web page search out Useful Information in limited, tolerable time, Internet development just can not be so swift and violent, and influence can be so not extensive.
Internet search engine extracts the information that webpage comprises from internet web page, and deposits these information in database.When the user behind input keyword on the internet search engine search and webpage, search engine is sought out the webpage relevant with importing keyword and is offered the user from database.Search engine the earliest can be traced back to nineteen ninety and be designed the Archie system of realization by Canadian McGill three students of university.Also there is not so-called internet at that time, the search engine on the not now meaning of Archie system.The user can have to which ftp server with the Archie systematic search by import file name can be for the file of downloading with this document name.Along with the appearance of internet, Excite, Infoseek, AltaVista, Yahoo or the like internet search engine such as WebCrawler on many different meanings have appearred successively.WebCrawler is first full-text search engine of being realized in 1994 by the Brian Pinkerton of Washington, DC university.It can search for any speech on any webpage.And Yahoo in fact more precisely belongs to catalogue formula search engine rather than full-text search engine.A large amount of classified websites have been collected on its split catalog webpage.The webpage that the webpage owner can oneself will have is registered on the split catalog webpage by class.Other users can search out interested webpage from the split catalog webpage according to split catalog.Other Web page classifying catalogue webpage is also just like Sina's split catalog webpage, DMOZ (www.dmoz.org) or the like.A large amount of commercial users promotes their product in order to utilize the internet better, their product information webpage is more preferably appeared in the Search Results of search engine, the rank rule of website on the split catalog webpage begins one's study, and attempt to go to adjust the rank of own website on the split catalog webpage the easier searched engine search in own website is arrived by certain methods, and the more forward position of Search Results correspondingly appears, this search engine optimization just occurred.Also often leave for the extracting webpage from these split catalog webpages in addition when search-engine web page grasps, be included in the webpage on these split catalog webpages, easier searched engine grasps, thereby is presented in the Search Results of search engine.These split catalog webpages do not belong to real search engine, but these split catalog webpages can be used to handle the search-engine web page Search Results artificially.Be different from catalogue formula search engine, Google has then adopted the PageRank technology, each webpage is attached in the result's that search engine searches arrives the priority level by the situation of other webpage (more normal accessed webpage) link, thereby is arrived by the easy more searched engine search of the many more webpages of other web page interlinkage.This makes the Search Results of search engine and the correlativity of importing keyword improve greatly.The commercial principle of search engine as Google, Baidu etc. has adopted.
Search engine generally comprises following a few step: webpage extracting, webpage participle, web page index and Webpage search.The frequency that participle that each webpage and it are comprised and participle occur is set up the degree of association, uses when depositing index data base for search engine searches in.When using search engine searches, the webpage that is associated with the keyword of input is generally arranged according to the degree of the degree of association and is used as Search Results like this.Maximally related webpage then is arranged in the front of Search Results, is arrived by user search easily more.The user is when using search engine searches, and in general Shu Ru keyword is limited, and the situation of two to three keywords is very general.Like this in the web results that searches by web page search engine usually not necessarily the user really want the webpage that searches.Often the user can not find by browsing the webpage that searches page by page and really want the webpage that searches.In order to offer the Search Results that the user really needs better, search engine companies has adopted certain methods to provide better Search Results to the user.Baidu's search engine, export Search Results, make the user in picture, video, these classifications of news, can search the interested webpage of user better more accurately than answering search engine Search Results can be waited by picture, video, news.Google search engine, there is search engine then not only to comprise these, also search result web page can be classified by the time simultaneously.As only showing in one day in the past, in the week, in January or the webpage that upgraded in a year.In addition, search engine is also by linking sensing and the similar webpage of this display result webpage other the adding of the search result web page of each demonstration, perhaps summary or snapshot by providing each search result web page, like this user just not spending each web page browsing just can not know whether this webpage comprises the user's interest result.These methods have improved and have offered the better possibility of Search Results more accurately of user, but search engine result displayed webpage still may comprise a lot of uninterested Search Results, only offers the user's interest webpage as much as possible thereby need filter these information.
Summary of the invention
The object of the invention is to provide a kind of search engine that classification shows that has, and solved the display result of search engine in the prior art and usually do not realized that the too numerous and diverse user of making of information of the purpose of user search or retrieval is difficult to find accurately problems such as information.
In order to solve these problems of the prior art, technical scheme provided by the invention is:
A kind of have a search engine that classification shows, comprises being in server end:
Webpage grasps and pretreatment module, is used for collecting webpage from network automatically, carry out pre-service info web is changed into the formatted text information of computer-readable mode, and regularly real-time update info web and new web page information grasps;
Index module is used for webpage is grasped and the formatted text information of pretreatment module after handling is carried out participle, and the web page index storehouse that makes the frequency foundation of participle that each webpage and it is comprised and participle appearance have degree of association feature;
Enquiry module is used to respond the query requests of user side, and the web page index storehouse set up of search index module, obtains the search result list with the query requests coupling of user side;
Be in user side:
Display module as a result is used for importing the keyword query request for the user, and obtains the search result list that is complementary with keyword from the enquiry module of server end, and according to showing the user after the descending series arrangement of the degree of association;
It is characterized in that described search engine also comprises the sort module that is in server end, be used for each webpage is classified according to the Chinese Library library classification system, deposit the classification results index in the web page index storehouse; The web page index that described display module as a result shows by subfield and keyword is complementary and with keyword relevant Web page classifying.
Preferably, described each webpage of search engine server end is classified according to the Chinese Library library classification system.
Preferably, the machine learning classification of manual sort or employing particle swarm optimization algorithm is adopted in described classification.
Preferably, described display module as a result comprises two hurdle display windows, and first display window is used to show the web page listings that is complementary with keyword; Second display window is used to show the Web page classifying relevant with keyword.
Preferably, be provided with about described two hurdle display windows are, the left side is second display window, and the right side is first display window; When first display window focuses on current display web page list items, second classification overstriking of display window corresponding web page or the additive color.
Preferably, the interior webpage list items of described first display window has the hyperlink with the corresponding web page web site url, when the user rests on the web page listings item by mouse, the webpage classification of corresponding web page list items correspondence overstriking or variable color in second display window, corresponding web page list items right side presents the snapshots of web pages relevant with the corresponding web page list items.
Preferably, during web page listings item in the user selects first display window, user side will directly be opened the corresponding web page web site url and browse for the user; During Web page classifying in the user selects second display window, the web page listings of the same Web page classifying that the first display window cluster explicit user is selected.
Preferably, described second display window also comprises page refreshment time option, and described page refreshment time option is arranged on the Web page classifying lower end and selects for the user.
The present invention also provides a kind of fast searching method of the Webpage searching result based on Web page classifying, it is characterized in that said method comprising the steps of:
(1) query requests of reception user side;
(2) response query requests, index the degree of association of the frequency accumulative total that participle that each webpage and it is comprised and participle occur is arranged and web page index storehouse that each webpage is classified on carry out the search result list of inquiry to obtain to mate with query requests;
(3) search listing is carried out descending sort according to the degree of association and will sort after the search listing and the webpage classification of search listing be divided into two hurdles generation webpage and present to the user.
The present invention can offer user's required Search Results of user more accurately better.By search engine search results is passed through Web page classifying information Search Results is pressed webpage classification display of search results, thereby offer user's Search Results more accurately, make the user can search the user's interest webpage more quickly, better.The fast searching method of this Webpage searching result based on Web page classifying can combine with existing commercial search engine and provide the user to find needed information fast from the Webpage searching result that these commercial search engine provide.
To webpage extracting, participle, index, and after the frequency of participle that each webpage and it are comprised and participle appearance sets up the degree of association, each webpage is classified according to the Chinese Library library classification system, each webpage can be corresponding to one or several classification, all information are deposited in the database, use when treating Webpage search.
During Webpage search, two lattice about the search engine display page is divided into, left side display web page classified information, the right display of search results.Initial search result is presented at webpage the right after the user imports keyword.The affiliated webpage classification on the left side that is arranged in first webpage shows.The left side comprises the direct link of returning initial search result and number of pages simultaneously.Other webpage then will show the pairing webpage classification of this webpage in the left side in the Search Results that shows on the right of selecting.Arbitrary webpage on double selection the right then can be opened this webpage and browse this webpage for the user.The Web page classifying classification of selecting the left side to show, then the right will show in all Search Results of search engine and belongs to other Search Results of this web page class.The web page interlinkage of the right demonstration all belongs to user institute other Search Results of interested web page class like this, and the user can search out the information of the required searching of user more quickly, better, more accurately.Certainly at present the used certain methods of search engine can be combined together better for the user serves, as the summary by providing each search result web page or snapshot or the like.
To webpage extracting, participle, index, and when the frequency of participle that each webpage and it are comprised and participle appearance sets up the degree of association, according to adding shown in the figure one each webpage is classified this step according to the Chinese Library library classification system, deposit database in.The Chinese Library library classification system that this patent adopts can substitute with other Web page classifying method equally.Web page classifying can adopt artificial method, also can adopt the method for machine learning to come webpage is classified as adopting particle swarm optimization algorithm.
With the search engine searches webpage time, the Webpage searching result that search engine is provided shows shown in figure two.Search engine search results is presented at the right, and the display web page classification is then come by overstriking or the corresponding webpage classification of additive color in the left side.The left side can show the direct link of initial search result and number of pages simultaneously on top.The direct link that shows initial search result and number of pages is can directly get back to the demonstration search engine search results at any time for the right, as selects second page, and then the right shows direct second page from the search engine search results demonstration.When Search Results showed for the first time, the left side showed the affiliated webpage classification be arranged in first webpage.As selecting one of them webpage in the web page interlinkage that shows on the right, then the webpage classification of this webpage correspondence then is presented at the left side.Select the classification on the left side, then the right will show the link that belongs to these other all webpages of web page class in all Search Results of search engine.Double selection the right one web page interlinkage then can directly be opened this webpage and be browsed for the user.Know the search and webpage corresponding class of wanting as the user, then the user can directly browse to corresponding Web page classifying classification by left side Web page classifying classification and select this webpage classification.After selecting this webpage classification, the right will only show and belong to other web page interlinkage of this web page class in the search engine search results.The user can directly search own interested webpage fast like this.
The used certain methods of search engine can be combined simultaneously and be user's service together better at present, as summary by providing each search result web page or snapshot with only show in one day in the past, in the week, in January or the webpage that upgraded in a year or the like.
With respect to scheme of the prior art, advantage of the present invention is:
The present invention can help the user by the webpage classification more quickly, search out the interested webpage of user by search engine more accurately by Web page classifying information better.
Description of drawings
Below in conjunction with drawings and Examples the present invention is further described:
Fig. 1 has the workflow diagram of the search engine of classification demonstration at server end for the present invention;
Fig. 2 has the workflow diagram of the search engine of classification demonstration at user side for the present invention.
Embodiment
Below in conjunction with specific embodiment such scheme is described further.Should be understood that these embodiment are used to the present invention is described and are not limited to limit the scope of the invention.The implementation condition that adopts among the embodiment can be done further adjustment according to the condition of concrete producer, and not marked implementation condition is generally the condition in the normal experiment.
Embodiment
The present invention has the search engine that classification shows, server end comprises that webpage grasps and pretreatment module, be used for collecting webpage from network automatically, carry out pre-service info web is changed into the formatted text information of computer-readable mode, and regularly real-time update info web and newly-built info web grasp; Index module is used for webpage is grasped and the formatted text information of pretreatment module after handling is carried out participle, and the web page index storehouse that makes the frequency foundation of participle that each webpage and it is comprised and participle appearance have degree of association feature; Enquiry module is used to respond the query requests of user side, and the web page index storehouse set up of search index module, obtains the search result list with the query requests coupling of user side; Sort module is used for each webpage is classified according to the Chinese Library library classification system, deposits the classification results index in the web page index storehouse;
As depicted in figs. 1 and 2, webpage grasps with Sina's split catalog webpage (http://dir.iask.com/) as start page, according to the list of hyperlinks on the webpage, constantly grasp new webpage in order, and, provide web page interlinkage for the new webpage of follow-up extracting with hyperlink adding list of hyperlinks new on each webpage that grasped.Each webpage that grabs marks crawled specifically mistake in list of hyperlinks, avoid repeating to grasp the webpage that had grasped even entering endless loop.The info web that grasps is carried out pre-service, as get rid of label symbol in the html file, obtain web page text information.When grasping for the first time, the web page text information of the webpage that all grab and its correspondence deposits database in, uses for subsequent step.The webpage that does not grab deposits database too in but marking of web pages does not exist.After grasping for the first time, regularly (as 10 o'clock every night) are grasped webpage later on.As info web renewal is arranged, deposit database in after then grasping the information processing of this webpage, then do not grasp this info web as not upgrading, this web page contents is constant in the database.For info web the webpage of renewal is arranged, check whether the hyperlink that it contains comprises new webpage,, carry out newly-built info web and grasp if any then these new webpages being added list of hyperlinks.Grasp in this process at webpage, write down each webpage by the number of times of other web page interlinkage, and deposit database in.At last all webpages that deposit in are classified according to the Chinese Library library classification system according to info web, and class categories is deposited in the database.
In database, the webpage that newly grabs is carried out participle according to the dictionary for word segmentation of having set up (as 2 speech dictionaries, 3 speech dictionaries, proper noun dictionary or the like), the frequency that occurs in this webpage according to each participle is set up the degree of association of the participle of this webpage and each appearance again, thereby can further set up each participle and the degree of association that comprises all webpages of this participle, use according to the keyword search webpage during for Webpage search.Like this after the user imports the keyword that needs search, enquiry module will be found out with the relevant webpage of keyword and with they orderings.Webpage ordering is then determined with the number of the degree of association of the keyword of input, the keyword that is associated and by the number of times of other web page interlinkage according to webpage.Many more with the keyword of Webpage correlation, the degree of association is high more and many more by the number of times of other web page interlinkage, then this webpage ordering is forward more.
User side comprises display module as a result, is used for importing the keyword query request for the user, and obtains the search result list that is complementary with keyword from the enquiry module of server end, and according to showing the user after the descending series arrangement of the degree of association; The web page index that described display module as a result shows by subfield and keyword is complementary and with keyword relevant Web page classifying.
Each webpage of server end is classified according to the Chinese Library library classification system, and the manual sort is adopted in classification.User side display module as a result comprises two hurdle display windows, and first display window is used to show the web page listings that is complementary with keyword; Second display window is used to show the Web page classifying relevant with keyword.Be provided with about described two hurdle display windows are, the left side is second display window, and the right side is first display window; When first display window focuses on current display web page list items, second classification overstriking of display window corresponding web page or the additive color.The interior webpage list items of described first display window has the hyperlink with the corresponding web page web site url, when the user rests on the web page listings item by mouse, the webpage classification of corresponding web page list items correspondence overstriking or variable color in second display window, corresponding web page list items right side presents the snapshots of web pages relevant with the corresponding web page list items.
During web page listings item in the user selects first display window, user side will directly be opened the corresponding web page web site url and browse for the user; During Web page classifying in the user selects second display window, the web page listings of the same Web page classifying that the first display window cluster explicit user is selected.Described second display window also comprises page refreshment time option, and described page refreshment time option is arranged on the Web page classifying lower end and selects for the user.
When inquiring about, server end receives the query requests of user side earlier; Respond query requests then, index the degree of association of the frequency accumulative total that participle that each webpage and it is comprised and participle occur is arranged and web page index storehouse that each webpage is classified on carry out inquiry to obtain the search result list with the query requests coupling; At last search listing is carried out descending sort according to the degree of association and will sort after the search listing and the webpage classification of search listing be divided into two hurdles generation webpage and present to the user.
Above-mentioned example only is explanation technical conceive of the present invention and characteristics, and its purpose is to allow the people who is familiar with this technology can understand content of the present invention and enforcement according to this, can not limit protection scope of the present invention with this.All equivalent transformations that spirit is done according to the present invention or modification all should be encompassed within protection scope of the present invention.
Claims (9)
1. one kind has the search engine that classification shows, comprises being in server end:
Webpage grasps and pretreatment module, is used for collecting webpage from network automatically, carry out pre-service info web is changed into the formatted text information of computer-readable mode, and regularly real-time update info web and new web page information grasps;
Index module is used for webpage is grasped and the formatted text information of pretreatment module after handling is carried out participle, and the web page index storehouse that makes the frequency foundation of participle that each webpage and it is comprised and participle appearance have degree of association feature;
Enquiry module is used to respond the query requests of user side, and the web page index storehouse set up of search index module, obtains the search result list with the query requests coupling of user side;
Be in user side:
Display module as a result is used for importing the keyword query request for the user, and obtains the search result list that is complementary with keyword from the enquiry module of server end, and according to showing the user after the descending series arrangement of the degree of association;
It is characterized in that described search engine also comprises the sort module that is in server end, be used for each webpage is classified according to the Chinese Library library classification system, deposit the classification results index in the web page index storehouse; The web page index that described display module as a result shows by subfield and keyword is complementary and with keyword relevant Web page classifying.
2. according to claim 1 have a search engine that classification shows, it is characterized in that described each webpage of search engine server end classifies according to the Chinese Library library classification system.
3. according to claim 2 have a search engine that classification shows, it is characterized in that described classification adopts the manual sort or adopt the machine learning classification of particle swarm optimization algorithm.
4. the search engine with classification demonstration according to claim 1 is characterized in that described display module as a result comprises two hurdle display windows, and first display window is used to show the web page listings that is complementary with keyword; Second display window is used to show the Web page classifying relevant with keyword.
5. the search engine with classification demonstration according to claim 4 is characterized in that being provided with about described two hurdle display windows are, and the left side is second display window, and the right side is first display window; When first display window focuses on current display web page list items, second classification overstriking of display window corresponding web page or the additive color.
6. the search engine with classification demonstration according to claim 4, it is characterized in that webpage list items in described first display window has the hyperlink with the corresponding web page web site url, when the user rests on the web page listings item by mouse, the webpage classification of corresponding web page list items correspondence overstriking or variable color in second display window, corresponding web page list items right side presents the snapshots of web pages relevant with the corresponding web page list items.
7. the search engine with classification demonstration according to claim 6, when it is characterized in that the web page listings item in the user selects first display window, user side will directly be opened the corresponding web page web site url and browse for the user; During Web page classifying in the user selects second display window, the web page listings of the same Web page classifying that the first display window cluster explicit user is selected.
8. the search engine with classification demonstration according to claim 4 is characterized in that described second display window also comprises page refreshment time option, and described page refreshment time option is arranged on the Web page classifying lower end and selects for the user.
9. fast searching method based on the Webpage searching result of Web page classifying is characterized in that said method comprising the steps of:
(1) query requests of reception user side;
(2) response query requests, index the degree of association of the frequency accumulative total that participle that each webpage and it is comprised and participle occur is arranged and web page index storehouse that each webpage is classified on carry out the search result list of inquiry to obtain to mate with query requests;
(3) search listing is carried out descending sort according to the degree of association and will sort after the search listing and the webpage classification of search listing be divided into two hurdles generation webpage and present to the user.
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Cited By (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102521267A (en) * | 2011-11-21 | 2012-06-27 | 沈文策 | In-station information searching method and system |
CN103064880A (en) * | 2012-11-23 | 2013-04-24 | 覃文浩 | Method, device and system based on searching information for providing users with website choice |
CN103258000A (en) * | 2013-03-29 | 2013-08-21 | 北界创想(北京)软件有限公司 | Method and device for clustering high-frequency keywords in webpages |
CN103365924A (en) * | 2012-04-09 | 2013-10-23 | 北京大学 | Method, device and terminal for searching information |
CN103631791A (en) * | 2012-08-22 | 2014-03-12 | 腾讯科技(深圳)有限公司 | Information fusion classification display method and system |
CN103914529A (en) * | 2014-03-31 | 2014-07-09 | 百度在线网络技术(北京)有限公司 | Search displaying method and search displaying device |
CN103995881A (en) * | 2014-05-28 | 2014-08-20 | 百度在线网络技术(北京)有限公司 | Method and device for showing search results |
CN104123366A (en) * | 2014-07-23 | 2014-10-29 | 谢建平 | Search method and server |
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CN109948032A (en) * | 2017-08-21 | 2019-06-28 | 李华林 | Web search results ranking device, search engine and browser based on user preference |
CN110059243A (en) * | 2019-03-21 | 2019-07-26 | 广东瑞恩科技有限公司 | Data optimization engine method, apparatus, equipment and computer readable storage medium |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050144162A1 (en) * | 2003-12-29 | 2005-06-30 | Ping Liang | Advanced search, file system, and intelligent assistant agent |
CN1716255A (en) * | 2004-07-01 | 2006-01-04 | 微软公司 | Dispersing search engine results by using page category information |
CN101014954A (en) * | 2004-09-07 | 2007-08-08 | 因特曼股份有限公司 | Information search provision apparatus and information search provision system |
CN101261629A (en) * | 2008-04-21 | 2008-09-10 | 上海大学 | Specific information searching method based on automatic classification technology |
CN102012922A (en) * | 2010-11-30 | 2011-04-13 | 无锡快度信息技术有限公司 | Modeling method for industrial application model of universal vertical search engine |
-
2011
- 2011-07-25 CN CN2011102076463A patent/CN102236719A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050144162A1 (en) * | 2003-12-29 | 2005-06-30 | Ping Liang | Advanced search, file system, and intelligent assistant agent |
CN1716255A (en) * | 2004-07-01 | 2006-01-04 | 微软公司 | Dispersing search engine results by using page category information |
CN101014954A (en) * | 2004-09-07 | 2007-08-08 | 因特曼股份有限公司 | Information search provision apparatus and information search provision system |
CN101261629A (en) * | 2008-04-21 | 2008-09-10 | 上海大学 | Specific information searching method based on automatic classification technology |
CN102012922A (en) * | 2010-11-30 | 2011-04-13 | 无锡快度信息技术有限公司 | Modeling method for industrial application model of universal vertical search engine |
Cited By (23)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102521267B (en) * | 2011-11-21 | 2014-01-22 | 沈文策 | In-station information searching method and system |
CN102521267A (en) * | 2011-11-21 | 2012-06-27 | 沈文策 | In-station information searching method and system |
CN103365924B (en) * | 2012-04-09 | 2016-04-06 | 北京大学 | A kind of method of internet information search, device and terminal |
CN103365924A (en) * | 2012-04-09 | 2013-10-23 | 北京大学 | Method, device and terminal for searching information |
CN103631791B (en) * | 2012-08-22 | 2017-04-12 | 腾讯科技(深圳)有限公司 | Information fusion classification display method and system |
CN103631791A (en) * | 2012-08-22 | 2014-03-12 | 腾讯科技(深圳)有限公司 | Information fusion classification display method and system |
CN103064880A (en) * | 2012-11-23 | 2013-04-24 | 覃文浩 | Method, device and system based on searching information for providing users with website choice |
CN103064880B (en) * | 2012-11-23 | 2016-12-21 | 覃文浩 | A kind of methods, devices and systems providing a user with website selection based on search information |
CN103258000A (en) * | 2013-03-29 | 2013-08-21 | 北界创想(北京)软件有限公司 | Method and device for clustering high-frequency keywords in webpages |
CN103914529A (en) * | 2014-03-31 | 2014-07-09 | 百度在线网络技术(北京)有限公司 | Search displaying method and search displaying device |
WO2015149506A1 (en) * | 2014-03-31 | 2015-10-08 | 百度在线网络技术(北京)有限公司 | Search display method and device |
CN103914529B (en) * | 2014-03-31 | 2016-03-16 | 百度在线网络技术(北京)有限公司 | Search exhibiting method and device |
CN103995881A (en) * | 2014-05-28 | 2014-08-20 | 百度在线网络技术(北京)有限公司 | Method and device for showing search results |
CN103995881B (en) * | 2014-05-28 | 2018-04-13 | 百度在线网络技术(北京)有限公司 | Search result shows method and device |
CN104123366A (en) * | 2014-07-23 | 2014-10-29 | 谢建平 | Search method and server |
CN104572871A (en) * | 2014-12-19 | 2015-04-29 | 乐视网信息技术(北京)股份有限公司 | Method and device for searching based on index table |
CN104572879A (en) * | 2014-12-19 | 2015-04-29 | 乐视网信息技术(北京)股份有限公司 | Method and device for updating index table and method and device for searching based on index table |
CN106708901A (en) * | 2015-11-17 | 2017-05-24 | 北京国双科技有限公司 | Clustering method and device of search terms in website |
CN107301193A (en) * | 2016-04-15 | 2017-10-27 | 北京慧点科技有限公司 | A kind of information query method for MSN |
CN107343104A (en) * | 2017-07-19 | 2017-11-10 | 北京小米移动软件有限公司 | Handle the method, apparatus and terminal device of Information on Collection |
CN109948032A (en) * | 2017-08-21 | 2019-06-28 | 李华林 | Web search results ranking device, search engine and browser based on user preference |
CN108920671A (en) * | 2018-07-06 | 2018-11-30 | 佛山市灏金赢科技有限公司 | A kind of web page tag lookup method and system |
CN110059243A (en) * | 2019-03-21 | 2019-07-26 | 广东瑞恩科技有限公司 | Data optimization engine method, apparatus, equipment and computer readable storage medium |
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