CN104102746A - Webpage data updating method and webpage data updating system - Google Patents

Webpage data updating method and webpage data updating system Download PDF

Info

Publication number
CN104102746A
CN104102746A CN201410380304.5A CN201410380304A CN104102746A CN 104102746 A CN104102746 A CN 104102746A CN 201410380304 A CN201410380304 A CN 201410380304A CN 104102746 A CN104102746 A CN 104102746A
Authority
CN
China
Prior art keywords
webpage
data
sale
hotel
baseline
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
Application number
CN201410380304.5A
Other languages
Chinese (zh)
Other versions
CN104102746B (en
Inventor
吴鹏越
蔡新发
徐毅翔
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Ctrip Computer Technology Shanghai Co Ltd
Original Assignee
Ctrip Computer Technology Shanghai Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Ctrip Computer Technology Shanghai Co Ltd filed Critical Ctrip Computer Technology Shanghai Co Ltd
Priority to CN201410380304.5A priority Critical patent/CN104102746B/en
Publication of CN104102746A publication Critical patent/CN104102746A/en
Application granted granted Critical
Publication of CN104102746B publication Critical patent/CN104102746B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/02—Reservations, e.g. for tickets, services or events
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/12—Hotels or restaurants

Abstract

The invention provides a webpage data updating method and a webpage data updating system. The method comprises the following steps that: Step 1, the probability value of each object in a plurality of objects of a webpage is calculated by utilizing a formula that G=q<b>*B+q<h>*H+q<s>*S, wherein B=C/U, the C is the data volume needing to be updated in the unit time of the webpage, and the U is the data volume capable of being updated in the unit time of the webpage; H=q<v>*(V<c>-V<b>)+q<o>*(O<c>-O<b>), wherein the V<c> is the page view of a target to be sold in the current object in the recent period of time, the O<c> is the order quantity of the target to be sold in the recent period of time, the V<b> is a page view baseline, and the O<b> is a order quantity baseline; and S=A<b>-A<c>, wherein the A<b> is the for-sale quantity of the target to be sold in the current object, and the A<c> is a for-sale baseline; and Step 2, the data of the objects in the webpage is sequentially updated in a sequence from large ones to small ones according to the probability values; the dynamic data of the objects in the webpage is more favorably updated; and the probability that users cannot successfully complete reservation is reduced.

Description

Webpage data updating and system
Technical field
The present invention relates to a kind of Webpage data updating and web data and upgrade system.
Background technology
The object that webpage comprises has a lot, and such as hotel, air ticket or travelling entrance ticket etc., be example below taking hotel, and in webpage, the dynamic data in hotel refers to house type, room rate, room state and room amount, and the dynamic data in hotel all can have a large amount of variations every day.For the dynamic data in hotel in new web page more, some network company can log in the backstage management of webpage system of those hotel's dynamic datas of management, with the more data in hotel in new web page of the mode of manual entry; Some company can be by the data in hotel in the automatic more new web page of the technological means such as interface.
In automatic more new web page, the mode of hotel's data has following deficiency at present: the network interface that some webpage is corresponding has flow and number of times restriction, in the time that the flow of network interface exceeds limit amount, network interface stops transmitting data, in the time that the number of times of network data transmission interface exceeds limits value, network interface also stops transmitting data, cannot real-time update by the data that cause webpage Zhong hotel.Although the network interface that some webpage is corresponding there is no flow and number of times restriction, but when volume of transmitted data is very large and when concurrent transmission, data rate is very slow, meeting is overtime, the all data in synchronous hotel expend time in very long, this will cause equally webpage Zhong hotel data cannot be in real time, upgrade exactly, even there will be this situation: there is room the standard room that shows a certain hotel in webpage, but in fact the standard room in this hotel there is not room, causes user cannot successfully complete reservation; Or the final price paying of the price showing in webpage and user is different, these all will reduce user's experience.
Summary of the invention
The technical problem to be solved in the present invention is cannot be in time in order to overcome web data update mode in prior art, the defect of the data of each object in new web page more exactly, provides a kind of and be more conducive to the renewal of the dynamic data of object in webpage and reduce Webpage data updating and the system of the probability that user cannot successfully subscribe.
The present invention solves above-mentioned technical matters by following technical proposals:
The invention provides a kind of Webpage data updating, its feature is, it comprises the following steps:
S 1, utilize formula G=q b* B+q h* H+q s* S calculates the probability numbers of each object in multiple objects of a webpage;
Wherein, G is probability numbers, q b, q hand q sbe weight, and q b+ q h+ q s=1;
B=C/U, C is the data volume that this webpage unit interval domestic demand is upgraded, U is renewable data volume in this webpage unit interval;
H=q v* (V c-V b)+q o* (O c-O b), q vand q obe weight, and q v+ q o=1, V cfor the pageview to the target for sale in current object in the nearest time period, O cfor the order volume to this target for sale in this time period recently, V bfor pageview baseline, O bfor order volume baseline;
S=A b-A c, A bfor the amount for sale of target for sale in current object, A cfor amount baseline for sale;
S 2, upgrade successively the data of the object in this webpage according to probability numbers order from large to small.
In this programme, calculating after the probability numbers of each object in this webpage, first upgrade the dynamic data of the object that probability numbers is large according to probability numbers order from large to small, upgrade again the dynamic data of the object that probability numbers is little, that is to say, this data refresh mode is the data of first upgrading the object that netpage user's attention rate is high, upgrade again the data of the object that netpage user's attention rate is low, be more conducive to the renewal of the dynamic data of each object in webpage and reduce the probability that user cannot successfully subscribe.
Preferably, q o> q v, because order volume is more even more important than pageview, be q so weighted value corresponding to order volume is greater than weighted value corresponding to pageview o> q v.
The present invention also provides a kind of web data to upgrade system, and its feature is, it comprises a computing module and a update module;
This computing module is used for utilizing formula G=q b* B+q h* H+q s* S calculates the probability numbers of each object in multiple objects of a webpage;
Wherein, G is probability numbers, q b, q hand q sbe weight, and q b+ q h+ q s=1;
B=C/U, C is the data volume that this webpage unit interval domestic demand is upgraded, U is renewable data volume in this webpage unit interval;
H=q v* (V c-V b)+q o* (O c-O b), q vand q obe weight, and q v+ q o=1, V cfor the pageview to the target for sale in current object in the nearest time period, O cfor the order volume to this target for sale in this time period recently, V bfor pageview baseline, O bfor order volume baseline;
S=A b-A c, A bfor the amount for sale of target for sale in current object, A cfor amount baseline for sale;
This update module is for upgrading successively the data of the object of this webpage according to probability numbers order from large to small.
Preferably, q o> q v.
Meeting on the basis of this area general knowledge, above-mentioned each optimum condition, can combination in any, obtains the preferred embodiments of the invention.
Positive progressive effect of the present invention is:
The invention provides a kind of Webpage data updating and system, first calculate the probability numbers of each object in multiple objects of a webpage, upgrade successively again the data of the object in this webpage according to the probability numbers calculating order from large to small, more be conducive to the renewal of the dynamic data of each object in webpage, reduce the probability that user cannot successfully subscribe, promote user's experience.
Brief description of the drawings
Fig. 1 is the process flow diagram of the Webpage data updating of preferred embodiment of the present invention.
Fig. 2 is the structured flowchart that the web data of preferred embodiment of the present invention upgrades system.
Embodiment
Mode below by embodiment further illustrates the present invention, but does not therefore limit the present invention among described scope of embodiments.
Shown in figure 1, the present embodiment provides a kind of Webpage data updating, and it comprises the following steps:
Step 101, utilize formula G=q b* B+q h* H+q s* S calculates the probability numbers of each object in multiple objects of a webpage;
Wherein, G is probability numbers, q b, q hand q sbe weight, and q b+ q h+ q s=1;
B=C/U, C is the data volume that this webpage unit interval domestic demand is upgraded, U is renewable data volume in this webpage unit interval;
H=q v* (V c-V b)+q o* (O c-O b), q vand q obe weight, q o> q vand q v+ q o=1, V cfor the pageview to the target for sale in current object in the nearest time period, O cfor the order volume to this target for sale in this time period recently, V bfor pageview baseline, O bfor order volume baseline;
S=A b-A c, A bfor the amount for sale of target for sale in current object, A cfor amount baseline for sale;
Step 102, upgrade successively the data of the object in this webpage according to probability numbers order from large to small.
As shown in Figure 2, the present embodiment also provides a kind of web data to upgrade system, and it comprises a computing module 1 and a update module 2.
This computing module 1 is for utilizing formula G=q b* B+q h* H+q s* S calculates the probability numbers of each object in multiple objects of a webpage;
Wherein, G is probability numbers, q b, q hand q sbe weight, and q b+ q h+ q s=1;
B=C/U, C is the data volume that this webpage unit interval domestic demand is upgraded, U is renewable data volume in this webpage unit interval;
H=q v* (V c-V b)+q o* (O c-O b), q vand q obe weight, q o> q vand q v+ q o=1, V cfor the pageview to the target for sale in current object in the nearest time period, O cfor the order volume to this target for sale in this time period recently, V bfor pageview baseline, O bfor order volume baseline;
S=A b-A c, A bfor the amount for sale of target for sale in current object, A cfor amount baseline for sale;
This update module 2 is for upgrading successively the data of the object of this webpage according to probability numbers order from large to small.
Webpage data updating based on above-mentioned and web data upgrade system, below by a concrete example as hotel's web data more new technological process further illustrate the present invention, those skilled in the art is to be understood that, although the Data Update in the following examples Yi Dui hotel webpage describes Webpage data updating and system, but the present invention is not limited to the data that can only be applied in hotel's webpage to be upgraded, the present invention can be applicable to data in various webpages to upgrade.
Suppose that the data volume that the Zhan of ctrip.com mono-hotel's webpage unit interval (as 1 second) domestic demand is upgraded is 10, the interior renewable data volume of network interface unit interval that this hotel's webpage is corresponding is 20, i.e. B=C/U=10/20=1/2.
This webpage Zhong You10Jia hotel of hotel, supposes q v=0.2, q o=0.8, those skilled in the art rule of thumb arrange pageview baseline and order volume baseline, and pageview baseline be set be 30 and order volume baseline be 20, then for example add up in nearest 24 hours user, to the type (single room of can selling house in the 1st hotel, double room, triple room, deluxe stuite etc.) pageview, counting the pageview of the type of can selling house in the 1st hotel is 100 times, thereafter the pageview of counting user to the type of can selling house in 2-10 Jia hotel successively, count the pageview of the type of can selling house in hotel of 2-10 family is followed successively by 50, 40, 150, 70, 45, 130, 160, 200 and 80 times.
Add up the order volume of user to the type of can selling house in the 1st hotel in nearest 24 hours thereafter, counting the order volume of the type of can selling house in the 1st hotel is 80 times, thereafter the order volume of counting user to the type of can selling house in 2-10 Jia hotel successively, counts the pageview of the type of can selling house in hotel of 2-10 family is followed successively by 30,28,100,50,30,120,90,160 and 60 times.
Then calculate the data temperature H in the 1st hotel 1the data temperature H of=0.2 2 hotels, (100-30)+0.8 (80-20)=62, the 2the data temperature H of=0.2 3 hotels, (50-30)+0.8 (30-20)=12, the 3the data temperature H of=0.2 4 hotels, (40-30)+0.8 (28-20)=3.6, the 4the data temperature H of=0.2 5 hotels, (150-30)+0.8 (100-20)=88, the 5the data temperature H of=0.2 6 hotels, (70-30)+0.8 (50-20)=32, the 6the data temperature H of=0.2 7 hotels, (45-30)+0.8 (30-20)=11, the 7the data temperature H of=0.2 8 hotels, (130-30)+0.8 (120-20)=100, the 8the data temperature H of=0.2 9 hotels, (160-30)+0.8 (90-20)=82, the 9=0.2 (200-30)+0.8 (160-20)=146, the data temperature H in 10Jia hotel 10=0.2 (80-30)+0.8 (60-20)=42.
Then add up the booked rooms amount of the current type of selling house in the 1st hotel, unsold number of for example single room, unsold number of double room, add up the 1st hotel also unsold room number be 60, the booked rooms amount of the current type of selling house in the 2nd hotel is 40, the booked rooms amount of the current type of selling house in the 3rd hotel is 50, the booked rooms amount of the current type of selling house in the 4th hotel is 130, the booked rooms amount of the current type of selling house in the 5th hotel is 70, the booked rooms amount of the current type of selling house in the 6th hotel is 50, the booked rooms amount of the current type of selling house in the 7th hotel is 150, the booked rooms amount of the current type of selling house in the 8th hotel is 130, the booked rooms amount of the current type of selling house in the 9th hotel is 180, the booked rooms amount of the current type of selling house in 10Jia hotel is 70, it can the amount of booking rooms baseline be 30 that those skilled in the art rule of thumb arrange, so by formula S=A b-A ccalculate the rare degree of these data of 10, be respectively S 1=60-30=30, S 2=40-30=10, S 3=50-30=20, S 4=130-30=100, S 5=70-30=40, S 6=50-30=20, S 7=150-30=120, S 8=130-30=100, S 9=180-30=150, S 10=70-30=40.
Then utilize formula G=q b* B+q h* H+q s* S calculates the probability numbers in this webpage Zhong Zhe10Jia hotel of hotel, sets q bbe 0.1, q hbe 0.6, q sbe the probability numbers G in 0.3, the 1 hotel 1=0.1*0.5+0.6*62+0.3*30=46.25, G 2=0.1*0.5+0.6*12+0.3*10=10.25, G 3=0.1*0.5+0.6*3.6+0.3*20=8.21, G 4=0.1*0.5+0.6*88+0.3*100=82.85, G 5=0.1*0.5+0.6*32+0.3*40=31.25, G 6=0.1*0.5+0.6*11+0.3*20=12.65, G 7=0.1*0.5+0.6*100+0.3*120=96.05, G 8=0.1*0.5+0.6*82+0.3*100=79.25, G 9=0.1*0.5+0.6*146+0.3*150=132.25, G 10=0.1*0.5+0.6*42+0.3*40=37.25.
According to probability numbers G 1-G 10order (G from large to small 9, G 7, G 4, G 8, G 1, G 10, G 5, G 6, G 2, G 3) upgrade successively the data in the Zhe10Jia hotel in this hotel's webpage, upgrade successively the data in the data in the data in the data in the data in the 9th hotel in this hotel's webpage, the 7th hotel, the 4th hotel, the 8th hotel, the 1st hotel, the data in 10Jia hotel, the data in the 5th hotel, the data in the 6th hotel, the data in the 2nd hotel and the data in the 3rd hotel.And, as can be seen from the above, the present invention first upgrades the data in the netpage user of this hotel attention rate Gao hotel, then upgrades the data in the netpage user of this hotel attention rate Di hotel, and in this webpage, the mode of Data Update is more conducive to the renewal of the dynamic data of each object in webpage.
In sum, the present invention first upgrades the data of the object that netpage user's attention rate is high, then upgrades the data of the object that netpage user's attention rate is low, is more conducive to the renewal of the dynamic data of each object in webpage and reduces the probability that user cannot successfully subscribe.
Each functional module in the present invention all can be realized in conjunction with existing software programming means under existing hardware condition, therefore its concrete methods of realizing is not all repeated at this.
Although more than described the specific embodiment of the present invention, it will be understood by those of skill in the art that these only illustrate, protection scope of the present invention is limited by appended claims.Those skilled in the art is not deviating under the prerequisite of principle of the present invention and essence, can make various changes or modifications to these embodiments, but these changes and amendment all fall into protection scope of the present invention.

Claims (4)

1. a Webpage data updating, is characterized in that, it comprises the following steps:
S 1, utilize formula G=q b* B+q h* H+q s* S calculates the probability numbers of each object in multiple objects of a webpage;
Wherein, G is probability numbers, q b, q hand q sbe weight, and q b+ q h+ q s=1;
B=C/U, C is the data volume that this webpage unit interval domestic demand is upgraded, U is renewable data volume in this webpage unit interval;
H=q v* (V c-V b)+q o* (O c-O b), q vand q obe weight, and q v+ q o=1, V cfor the pageview to the target for sale in current object in the nearest time period, O cfor the order volume to this target for sale in this time period recently, V bfor pageview baseline, O bfor order volume baseline;
S=A b-A c, A bfor the amount for sale of target for sale in current object, A cfor amount baseline for sale;
S 2, upgrade successively the data of the object in this webpage according to probability numbers order from large to small.
2. Webpage data updating as claimed in claim 1, is characterized in that, q o> q v.
3. web data upgrades a system, it is characterized in that, it comprises a computing module and a update module;
This computing module is used for utilizing formula G=q b* B+q h* H+q s* S calculates the probability numbers of each object in multiple objects of a webpage;
Wherein, G is probability numbers, q b, q hand q sbe weight, and q b+ q h+ q s=1;
B=C/U, C is the data volume that this webpage unit interval domestic demand is upgraded, U is renewable data volume in this webpage unit interval;
H=q v* (V c-V b)+q o* (O c-O b), q vand q obe weight, and q v+ q o=1, V cfor the pageview to the target for sale in current object in the nearest time period, O cfor the order volume to this target for sale in this time period recently, V bfor pageview baseline, O bfor order volume baseline;
S=A b-A c, A bfor the amount for sale of target for sale in current object, A cfor amount baseline for sale;
This update module is for upgrading successively the data of the object of this webpage according to probability numbers order from large to small.
4. web data as claimed in claim 3 upgrades system, it is characterized in that q o> q v.
CN201410380304.5A 2014-08-04 2014-08-04 Webpage data updating and system Active CN104102746B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410380304.5A CN104102746B (en) 2014-08-04 2014-08-04 Webpage data updating and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410380304.5A CN104102746B (en) 2014-08-04 2014-08-04 Webpage data updating and system

Publications (2)

Publication Number Publication Date
CN104102746A true CN104102746A (en) 2014-10-15
CN104102746B CN104102746B (en) 2018-04-27

Family

ID=51670899

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410380304.5A Active CN104102746B (en) 2014-08-04 2014-08-04 Webpage data updating and system

Country Status (1)

Country Link
CN (1) CN104102746B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107885884A (en) * 2017-12-01 2018-04-06 深圳市天下房仓科技有限公司 A kind of hotel's method of data synchronization, system and storage medium

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050228736A1 (en) * 2003-03-12 2005-10-13 Jeff Norman Method and system for an auction
US20090099939A1 (en) * 2007-10-10 2009-04-16 Oracle International Corporation Configurable intelligent countdown clock for online auctions
US20100251087A1 (en) * 2009-03-30 2010-09-30 Fujitsu Limited Information browse apparatus
US7975020B1 (en) * 2005-07-15 2011-07-05 Amazon Technologies, Inc. Dynamic updating of rendered web pages with supplemental content
US20110197124A1 (en) * 2010-02-05 2011-08-11 Bryan Eli Garaventa Automatic Creation And Management Of Dynamic Content
US20130073536A1 (en) * 2011-09-16 2013-03-21 Google Inc. Indexing of urls with fragments
CN103631880A (en) * 2013-11-13 2014-03-12 王锦忠 Partial updating method based on Ajax webpage
US20140118400A1 (en) * 2012-10-25 2014-05-01 Asustek Computer Inc. Method of automatic updating and filtering information

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050228736A1 (en) * 2003-03-12 2005-10-13 Jeff Norman Method and system for an auction
US7975020B1 (en) * 2005-07-15 2011-07-05 Amazon Technologies, Inc. Dynamic updating of rendered web pages with supplemental content
US20090099939A1 (en) * 2007-10-10 2009-04-16 Oracle International Corporation Configurable intelligent countdown clock for online auctions
US20100251087A1 (en) * 2009-03-30 2010-09-30 Fujitsu Limited Information browse apparatus
US20110197124A1 (en) * 2010-02-05 2011-08-11 Bryan Eli Garaventa Automatic Creation And Management Of Dynamic Content
US20130073536A1 (en) * 2011-09-16 2013-03-21 Google Inc. Indexing of urls with fragments
US20140118400A1 (en) * 2012-10-25 2014-05-01 Asustek Computer Inc. Method of automatic updating and filtering information
CN103631880A (en) * 2013-11-13 2014-03-12 王锦忠 Partial updating method based on Ajax webpage

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107885884A (en) * 2017-12-01 2018-04-06 深圳市天下房仓科技有限公司 A kind of hotel's method of data synchronization, system and storage medium

Also Published As

Publication number Publication date
CN104102746B (en) 2018-04-27

Similar Documents

Publication Publication Date Title
CN109447355B (en) Distribution optimization method, device, medium and computing equipment for warehouse goods
CN107870981B (en) Electronic device, data sheet filing method and storage medium
US20120130659A1 (en) Analysis of Large Data Sets Using Distributed Polynomial Interpolation
CN101464984A (en) Control system and method for publishing advertisement using advertisement location label
CN107134146B (en) Cloud vehicle license plate automatic correction system for managing multiple parking lots
CN107819745B (en) Method and device for defending against abnormal traffic
CN110858332B (en) Order production method and device
CN104102746A (en) Webpage data updating method and webpage data updating system
CN113542451A (en) Information processing method, device, equipment and storage medium
JP4981941B2 (en) Numerical calculation apparatus, method and program
CN112819215A (en) Recommendation strategy training method and device, electronic equipment and readable storage medium
CN115422933B (en) Cost data extraction method and device, electronic equipment and storage medium
CN111353642A (en) Telephone traffic scheduling prediction method, device, electronic equipment and storage medium
CN111445046A (en) Hotel reservation information processing method and system, electronic equipment and storage medium
CN103581227A (en) Server and upgrade method and system
CN114997414A (en) Data processing method and device, electronic equipment and storage medium
CN114612212A (en) Business processing method, device and system based on risk control
CN114862479A (en) Information pushing method and device, electronic equipment and medium
CN108875738B (en) Cloud identification error correction system and method of intelligent camera watch
CN109783217B (en) Shut down determination method, apparatus, electronic equipment and the storage medium of period
CN108804634B (en) Data rolling method and device, front-end equipment, background server and medium
CN113094602A (en) Hotel recommendation method, system, equipment and medium
CN104732439A (en) Method and system for electronic transaction, server and terminal equipment
CN112085426A (en) Order issuing control method and device, storage medium and electronic equipment
CN113792951B (en) Logistics distribution method and device, storage medium and electronic equipment

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