CN102340514A - Network information push method and system - Google Patents
Network information push method and system Download PDFInfo
- Publication number
- CN102340514A CN102340514A CN2010102281459A CN201010228145A CN102340514A CN 102340514 A CN102340514 A CN 102340514A CN 2010102281459 A CN2010102281459 A CN 2010102281459A CN 201010228145 A CN201010228145 A CN 201010228145A CN 102340514 A CN102340514 A CN 102340514A
- Authority
- CN
- China
- Prior art keywords
- user
- information
- network information
- visit
- website
- 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
Images
Landscapes
- Information Transfer Between Computers (AREA)
Abstract
The invention provides a network information push method and a system. The method comprises the following steps of: obtaining access information of a user on a website; classifying the user according to the access information, and obtaining the category to which the user belongs; and pushing network information corresponding to the category of the user. By adopting the network information push method and the system provided by the invention, the clicking rate of network information can be improved.
Description
[technical field]
The present invention relates to Internet technical field, relate in particular to a kind of network information push method and system.
[background technology]
The oriented user of existing number of site recommends the function of particular network information; Traditional mode is when user's browsing page and active customized network information; List through the website provides is initiatively filled in customized information; The type of the book that the customized information that for example, needs the user to fill on the online bookstore comprises the favorite book of once reading, the frequency of buying book, like etc.Through collecting the customized information that the user fills in; Need to determine whether the corresponding network information of customized push; If desired, browser then sends request from the server of trend customized network information, and server is recommended the corresponding network information according to the customized information that the user fills in for the user.For example, show in the customized information that the user fills in that the user likes the books of literature,, then such books are recommended the user through Webpage if the literature books that newly go out are then arranged.
Yet traditional this mode needs the user initiatively to fill in customized information, if user's customized network information initiatively not can't obtain customization information of user, also just can't realize the propelling movement of the network information, and the cost that therefore requires the user to participate in is too high; In addition; This mode can only be to user's recommendation network information of visiting the website; Then can't recommend for the user of first login and the user that do not add customized information, the clicking rate (number of times that some contents are clicked on the Website page and the ratio that is shown number of times) of the network information that causes on the website being recommended is not high.
[summary of the invention]
Based on this, be necessary to provide a kind of network information push method that can improve network information click rate.
A kind of network information push method may further comprise the steps: obtain the visit information of user in the website; According to said visit information the user is sorted out, obtain the affiliated classification of user; Network information push that will be corresponding with classification under the said user is given the user.
Wherein, before obtaining the visit information of user, also comprise: through the visit information of Cookie recording user in the website in the website; The said user of obtaining is in the step of the visit information of website specifically: obtain the user that writes down among Cookie visit information and the storage in the website.
Wherein, said visit information can comprise one or more of following information: the chained address of the webpage of user capture, the time in that webpage stays, the network information of searching for, the network information of clicking.
After network information push that will be corresponding with classification under the said user is given the user, also comprise: recording user upgrades user's classification according to said feedback information the feedback information of the network information of propelling movement.
In addition, said method also can comprise step: obtain the userspersonal information, according to said userspersonal information and visit information the user is sorted out.
Said method also can comprise: obtain the log-on message of user in the website, give the user according to the network information push that said log-on message is corresponding with the said classification of user.
In addition, also be necessary to provide a kind of network information push system that can improve network information click rate.
A kind of network information push system comprises: browser, and recording user is at the visit information of website; Server, comprise the visit information that obtains browser record communication module, according to said visit information the user is sorted out and obtains the sort module of classification under the user, the information that the network information that classification under the user is corresponding is sent to browser pushes module.
Wherein, said browser is through the visit information of Cookie recording user in the website; Said communication module is used for obtaining user that Cookie the writes down visit information in the website; Said server also comprises the database of storing said visit information.
Wherein, said visit information can comprise one or more of following information: the chained address of the webpage of user capture, the time in that webpage stays, the network information of searching for, the network information of clicking.
Wherein, Said browser also can be used for the feedback information of recording user to the network information of propelling movement; Said communication module also is used to obtain said feedback information; Said database also is used to store said feedback information, and said sort module also is used for according to said feedback information user's classification being upgraded.
In addition, said browser also is used for the recording user personal information, and said sort module also is used for according to said userspersonal information and visit information the user being sorted out.
Said server also is used to obtain user's log-on message, gives the user according to the network information push that said log-on message is corresponding with the said classification of user.
Above-mentioned network information push method and system; The user is sorted out at the visit information of website according to the user, the network information push that classification under the user is corresponding is given the user, need not the user and initiatively customizes; Also need not the user and initiatively fill in customized information; Visit information according to the user is sorted out the user, makes the network information that is pushed to the user meet user's demand, can improve the clicking rate of the network information.
In addition; Pushing network information is gone back the feedback information of recording user to the network information after giving the user, according to feedback information user's classification is upgraded, and makes that user's classification is more accurate; Make that also the network information that is pushed to the user more meets user's demand; Near user's hobby, the user more possibly go to click when receiving the network information that is pushed to it, thereby has further improved the clicking rate of the network information.
[description of drawings]
Fig. 1 is the flow chart of network information push method among the embodiment;
Fig. 2 is the structural representation of network information push system among the embodiment.
[embodiment]
As shown in Figure 1, a kind of network information push method, detailed process is following:
Step S10 obtains the visit information of user in the website.The website here comprises entry network site and member website; The user can be through each member website of entry network site visit, and for example the user logins www.qq.com's homepage, clicks some network information in homepage and can login Dangdang.com; Then entry network site is www.qq.com's homepage, and Dangdang.com is its member website.
In one embodiment; The user uses the browser access website; Browser is through the visit information of Cookie recording user in the website; Cookie is the text that is stored in browser directory, the visit information of user in the website is set all is stored among the Cookie, then can from Cookie, obtain the user that the write down visit information in the website.Visit information comprises the chained address, the time in that webpage stays, the network information of searching for of the webpage of user capture, in the network information clicked one or more.For some shopping websites, visit information also is included in information such as purchasing the commodity searched for of net website, purchaser record.The visit information that obtains is kept in the database, and can be sent to each member website of entry network site.
Step S20 sorts out the user according to visit information, obtains the affiliated classification of user.Among this embodiment; The corresponding relation that the affiliated classification of user reaches the network information that will recommend to such other user is set in advance; After getting access to the visit information of user, according to visit information the user is sorted out, thereby can learn to push which network information to the user in the website.For example; The time that the visit information explicit user that obtains stays on the relevant webpage of science popularization books is long; Show that then the science popularization books that the user shows this webpage are interested; Can push the info web relevant to such user, introduce content etc. such as the science popularization books that newly go out with the science popularization books.
Step S30, network information push that will be corresponding with classification under the user is given the user.The user can import log-on message, for example register account number and password etc. when Website login.Obtain the log-on message of user, then can give corresponding user according to the log-on message network information push that the said classification of user is corresponding in the website.Preferably, be pushed to the user, wherein the network information advertising message that can be the member website deliver at entry network site, recommendation information etc. with the form of tabulation.Can through Email, immediate communication tool or with the form of webpage will be corresponding with classification under the user network information push to the user.For example; The user often visits " cap " these commodity at a certain shopping website; Can learn that according to this visit information the user is interested in " cap " these commodity; Therefore can give the user with the transmitting advertisement information of trendy cap, for example can this advertising message sent in this user's the Email or gives this user's immediate communication tool message or present to this user with the form of webpage.In addition, can also in being pushed to user's the network information, increase personalized content to the user's interest content, like title or congratulatory words etc., more can satisfy user's individual demand.Because the user capture website will inevitably produce visit information; Carry out the propelling movement of the network information according to user's visit information; Do not need the user initiatively to customize and initiatively fill in customized information; Reduce the cost that the user participates in, made the network information that is pushed to the user meet user's demand, improved the clicking rate of the network information.
In one embodiment; Network information push that will be corresponding with classification under the user is given after the user; Also recording user is to the feedback information of the network information that pushes, and is same, and Cookie recording user that can be through browser is to the feedback information of the network information that pushes.For example push certain type of commodity and give the user with tabular form; The user can make some responses to the commodity tabulation of recommending it; After clicking certain commodity, purchase commodity, buying commodity, commodity etc. are estimated, bought once more to commodity; The response that the user makes the network information of recommending oneself generates feedback information, and is recorded among the Cookie.Obtain the feedback information that writes down among the Cookie, user's classification is upgraded according to these feedback informations.Because user's feedback information can further react user's hobby, for example the user repeatedly buys some commodity and shows that then its interest to these commodity is very big.According to feedback information user's classification is upgraded; Make user's classification more accurate; Thereby the feasible network information of recommending according to classification under the user is more near user's hobby, and the user more possibly go to click the network information of recommending him, has further improved the clicking rate of the network information.
In another embodiment; Said method also comprises the step of obtaining the userspersonal information; The personal information that is provided during the user capture website comprises user location, age, hobby etc., in conjunction with userspersonal information and visit information the user is sorted out, and can make user's classification more accurate.
As shown in Figure 2, a kind of network information push system comprises browser 10 and server 20, wherein:
Browser 10 is used for the visit information of recording user in the website.In one embodiment; Browser 10 is used for the visit information in the website through Cookie record, comprises the chained address, the time in that webpage stays, the network information of searching for of the webpage of user capture, in the network information clicked one or more.
Server 20 comprises that communication module 201, database 202, sort module 203 and information push module 204, and wherein: communication module 201 is obtained the visit information of browser 10 records, specifically is to obtain the user that writes down among the Cookie visit information in the website; The visit information that database 202 storages are obtained; Sort module 203 is sorted out the user according to visit information and is obtained classification under the user; Information pushes module 204 network information corresponding with classification under the user is sent to browser 10, promptly is pushed to the user.
In one embodiment, browser 10 also is used for the feedback information of recording user to the network information of propelling movement, equally can be through this feedback information of Cookie record.Communication module 201 is obtained user's feedback information, is stored in the database 202, and 203 of sort modules are upgraded user's classification according to feedback information.
In another embodiment; Browser 10 is gone back the recording user personal information, comprises user location, youth, hobby etc., and communication module 201 is obtained the userspersonal information; Be stored in the database 20,203 of sort modules are sorted out the user according to personal information and visit information.
In one embodiment, server 20 also is used to obtain the log-on message of user in the website, gives the user according to the network information push that log-on message is corresponding with the said classification of user.
The above embodiment has only expressed several kinds of execution modes of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to claim of the present invention.Should be pointed out that for the person of ordinary skill of the art under the prerequisite that does not break away from the present invention's design, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection range of patent of the present invention should be as the criterion with accompanying claims.
Claims (12)
1. network information push method may further comprise the steps:
Obtain the visit information of user in the website;
According to said visit information the user is sorted out, obtain the affiliated classification of user;
Network information push that will be corresponding with classification under the said user is given the user.
2. network information push method according to claim 1 is characterized in that, before obtaining the visit information of user in the website, also comprises: through the visit information of Cookie recording user in the website; The said user of obtaining is in the step of the visit information of website specifically: obtain the user that writes down among Cookie visit information and the storage in the website.
3. network information push method according to claim 2; It is characterized in that said visit information comprises one or more of following information: the chained address of the webpage of user capture, time, the network information of searching for, the network information of clicking in that webpage stays.
4. according to any described network information push method in the claim 1 to 3; It is characterized in that; After network information push that will be corresponding with classification under the said user is given the user, also comprise: recording user upgrades user's classification according to said feedback information the feedback information of the network information of propelling movement.
5. network information push method according to claim 1 is characterized in that, said method also comprises step: obtain the userspersonal information, according to said userspersonal information and visit information the user is sorted out.
6. network information push method according to claim 1 is characterized in that, said method also comprises: obtain the log-on message of user in the website, give the user according to the network information push that said log-on message is corresponding with the said classification of user.
7. a network information push system is characterized in that, comprising:
Browser, recording user is at the visit information of website;
Server, comprise the visit information that obtains browser record communication module, according to said visit information the user is sorted out and obtains the sort module of classification under the user, the information that the network information that classification under the user is corresponding is sent to browser pushes module.
8. network information push system according to claim 7 is characterized in that, said browser is through the visit information of Cookie recording user in the website; Said communication module is used for obtaining user that Cookie the writes down visit information in the website; Said server also comprises the database of storing said visit information.
9. network information push system according to claim 8; It is characterized in that said visit information comprises one or more of following information: the chained address of the webpage of user capture, time, the network information of searching for, the network information of clicking in that webpage stays.
10. according to any described network information push system in the claim 7 to 9; It is characterized in that; Said browser also is used for the feedback information of recording user to the network information of propelling movement; Said communication module also is used to obtain said feedback information, and said database also is used to store said feedback information, and said sort module also is used for according to said feedback information user's classification being upgraded.
11. network information push system according to claim 7 is characterized in that, said browser also is used for the recording user personal information, and said sort module also is used for according to said userspersonal information and visit information the user being sorted out.
12. network information push system according to claim 7 is characterized in that, said server also is used to obtain user's log-on message, gives the user according to the network information push that said log-on message is corresponding with the said classification of user.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201010228145.9A CN102340514B (en) | 2010-07-15 | 2010-07-15 | Network information push method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201010228145.9A CN102340514B (en) | 2010-07-15 | 2010-07-15 | Network information push method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102340514A true CN102340514A (en) | 2012-02-01 |
| CN102340514B CN102340514B (en) | 2015-07-29 |
Family
ID=45516012
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201010228145.9A Active CN102340514B (en) | 2010-07-15 | 2010-07-15 | Network information push method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102340514B (en) |
Cited By (30)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103365928A (en) * | 2012-04-10 | 2013-10-23 | 阿里巴巴集团控股有限公司 | Information recommendation method and information recommendation device |
| CN103617196A (en) * | 2013-11-08 | 2014-03-05 | 北京奇虎科技有限公司 | Method, browser, server and system for recommending websites |
| CN103678320A (en) * | 2012-09-03 | 2014-03-26 | 腾讯科技（深圳）有限公司 | Network information mining method and device |
| CN103685502A (en) * | 2013-12-09 | 2014-03-26 | 腾讯科技（深圳）有限公司 | Message pushing method, device and system |
| CN103810162A (en) * | 2012-11-05 | 2014-05-21 | 腾讯科技（深圳）有限公司 | Method and system for recommending network information |
| CN103853839A (en) * | 2014-03-18 | 2014-06-11 | 北京博雅立方科技有限公司 | Method and device for evaluating advertisement page malicious click suspected degree |
| CN104574117A (en) * | 2015-01-08 | 2015-04-29 | 浪潮软件集团有限公司 | Invoice query function aggregation method and system |
| CN104616166A (en) * | 2014-11-17 | 2015-05-13 | 陈飞 | Method and system for precisely pushing information based on personal characteristic data |
| CN104704490A (en) * | 2012-08-01 | 2015-06-10 | 诺夫尔公司 | Method of processing data regarding connection of a platform of an internet site |
| CN104735120A (en) * | 2013-12-24 | 2015-06-24 | 北京千橡网景科技发展有限公司 | Method and system for providing content for user |
| CN104750717A (en) * | 2013-12-29 | 2015-07-01 | 中国移动通信集团公司 | Click rate recording method, server and client |
| CN104835052A (en) * | 2014-02-11 | 2015-08-12 | 潘林星 | Method and system for improving network advertisement delivery precision |
| CN105430627A (en) * | 2015-11-12 | 2016-03-23 | 温州任和文化创意有限责任公司 | Message pushing method and system, and mobile terminal |
| CN105447724A (en) * | 2015-12-15 | 2016-03-30 | 腾讯科技（深圳）有限公司 | Content item recommendation method and apparatus |
| WO2016045071A1 (en) * | 2014-09-26 | 2016-03-31 | Alcatel-Lucent Shanghai Bell Co., Ltd. | Privacy protection for third party data sharing |
| CN105678317A (en) * | 2015-12-30 | 2016-06-15 | 腾讯科技（深圳）有限公司 | Information processing method and server |
| CN105874457A (en) * | 2016-03-30 | 2016-08-17 | 马岩 | Network information push method and system |
| CN105939364A (en) * | 2016-07-12 | 2016-09-14 | 搜油郎成都科技有限公司 | Intelligent message push method and system |
| CN106354782A (en) * | 2016-08-23 | 2017-01-25 | 天津火炬鑫茂创业服务有限公司 | Information tracking and promotion system |
| CN107040454A (en) * | 2017-03-20 | 2017-08-11 | 微梦创科网络科技（中国）有限公司 | Unread message based reminding method and device under a kind of quick more new scene of big data quantity |
| WO2018014771A1 (en) * | 2016-07-21 | 2018-01-25 | 阿里巴巴集团控股有限公司 | Data object pushing method, device and system |
| CN107657064A (en) * | 2017-10-31 | 2018-02-02 | 深圳市辉驰达网络电子商务有限公司 | Data configuration method and system |
| WO2018027844A1 (en) * | 2016-08-11 | 2018-02-15 | 张焰焰 | Method for pushing advertisements based on reading, and pushing system |
| WO2018027845A1 (en) * | 2016-08-11 | 2018-02-15 | 张焰焰 | Information pushing method for use when matching books and advertisements, and pushing system |
| WO2018027846A1 (en) * | 2016-08-11 | 2018-02-15 | 张焰焰 | Method for collecting usage data of advertisement pushing technology, and pushing system |
| CN108170445A (en) * | 2016-12-07 | 2018-06-15 | 北大医疗信息技术有限公司 | Method for pushing and pusher |
| CN108287834A (en) * | 2017-01-09 | 2018-07-17 | 百度在线网络技术（北京）有限公司 | Method, apparatus and computing device for pushed information |
| CN108596705A (en) * | 2018-03-23 | 2018-09-28 | 郑州大学西亚斯国际学院 | A kind of commodity suitable for e-commerce recommend method and system with information classification |
| CN111046297A (en) * | 2020-03-12 | 2020-04-21 | 深圳市成功快车科技有限公司 | Service intelligent matching recommendation method, device, equipment and storage medium based on machine learning algorithm |
| CN111833096A (en) * | 2020-06-10 | 2020-10-27 | 北京龙云科技有限公司 | Advertisement recommendation method and system based on machine learning |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI631523B (en) * | 2016-12-29 | 2018-08-01 | 人因設計所股份有限公司 | User log storage and advertising promotion method |
| TWI618012B (en) * | 2017-01-10 | 2018-03-11 | Customer-oriented product marketing and advertising and broadcasting method |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11161588A (en) * | 1997-11-26 | 1999-06-18 | Inter Kyuu Kk | System for real-time information acquisition, transmission, and sharing on web |
| CN1812339A (en) * | 2005-01-27 | 2006-08-02 | 伺服网路科技股份有限公司 | Web group information management method |
| CN101079824A (en) * | 2006-06-15 | 2007-11-28 | 腾讯科技（深圳）有限公司 | A generation system and method for user interest preference vector |
| CN101132311A (en) * | 2007-09-25 | 2008-02-27 | 腾讯科技（深圳）有限公司 | Method and system for preventing network advertisement from being viciously clicked |
| CN101192235A (en) * | 2007-04-11 | 2008-06-04 | 腾讯科技（深圳）有限公司 | Method, system and equipment for delivering advertisement based on user feature |
| CN101572629A (en) * | 2009-05-31 | 2009-11-04 | 腾讯科技（深圳）有限公司 | Method and device for processing IP data |
-
2010
- 2010-07-15 CN CN201010228145.9A patent/CN102340514B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11161588A (en) * | 1997-11-26 | 1999-06-18 | Inter Kyuu Kk | System for real-time information acquisition, transmission, and sharing on web |
| CN1812339A (en) * | 2005-01-27 | 2006-08-02 | 伺服网路科技股份有限公司 | Web group information management method |
| CN101079824A (en) * | 2006-06-15 | 2007-11-28 | 腾讯科技（深圳）有限公司 | A generation system and method for user interest preference vector |
| CN101192235A (en) * | 2007-04-11 | 2008-06-04 | 腾讯科技（深圳）有限公司 | Method, system and equipment for delivering advertisement based on user feature |
| CN101132311A (en) * | 2007-09-25 | 2008-02-27 | 腾讯科技（深圳）有限公司 | Method and system for preventing network advertisement from being viciously clicked |
| CN101572629A (en) * | 2009-05-31 | 2009-11-04 | 腾讯科技（深圳）有限公司 | Method and device for processing IP data |
Cited By (40)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103365928B (en) * | 2012-04-10 | 2017-04-26 | 阿里巴巴集团控股有限公司 | Information recommendation method and information recommendation device |
| CN103365928A (en) * | 2012-04-10 | 2013-10-23 | 阿里巴巴集团控股有限公司 | Information recommendation method and information recommendation device |
| CN104704490A (en) * | 2012-08-01 | 2015-06-10 | 诺夫尔公司 | Method of processing data regarding connection of a platform of an internet site |
| CN103678320A (en) * | 2012-09-03 | 2014-03-26 | 腾讯科技（深圳）有限公司 | Network information mining method and device |
| CN103678320B (en) * | 2012-09-03 | 2017-10-27 | 腾讯科技（深圳）有限公司 | The method for digging and device of the network information |
| CN103810162A (en) * | 2012-11-05 | 2014-05-21 | 腾讯科技（深圳）有限公司 | Method and system for recommending network information |
| CN103810162B (en) * | 2012-11-05 | 2017-12-12 | 腾讯科技（深圳）有限公司 | The method and system of recommendation network information |
| CN103617196A (en) * | 2013-11-08 | 2014-03-05 | 北京奇虎科技有限公司 | Method, browser, server and system for recommending websites |
| CN103617196B (en) * | 2013-11-08 | 2017-04-05 | 北京奇虎科技有限公司 | Recommend method, browser, server and the system of network address |
| US10104030B2 (en) * | 2013-12-09 | 2018-10-16 | Tencent Technology (Shenzhen) Company Limited | Systems and methods for message pushing |
| WO2015085768A1 (en) * | 2013-12-09 | 2015-06-18 | Tencent Technology (Shenzhen) Company Limited | Systems and methods for message pushing |
| CN103685502A (en) * | 2013-12-09 | 2014-03-26 | 腾讯科技（深圳）有限公司 | Message pushing method, device and system |
| US20150222583A1 (en) * | 2013-12-09 | 2015-08-06 | Tencent Technology (Shenzhen) Company Limited | Systems and Methods for Message Pushing |
| CN104735120A (en) * | 2013-12-24 | 2015-06-24 | 北京千橡网景科技发展有限公司 | Method and system for providing content for user |
| CN104750717B (en) * | 2013-12-29 | 2018-11-02 | 中国移动通信集团公司 | A kind of click volume recording method, server and client |
| CN104750717A (en) * | 2013-12-29 | 2015-07-01 | 中国移动通信集团公司 | Click rate recording method, server and client |
| CN104835052A (en) * | 2014-02-11 | 2015-08-12 | 潘林星 | Method and system for improving network advertisement delivery precision |
| CN103853839A (en) * | 2014-03-18 | 2014-06-11 | 北京博雅立方科技有限公司 | Method and device for evaluating advertisement page malicious click suspected degree |
| WO2016045071A1 (en) * | 2014-09-26 | 2016-03-31 | Alcatel-Lucent Shanghai Bell Co., Ltd. | Privacy protection for third party data sharing |
| US11520930B2 (en) | 2014-09-26 | 2022-12-06 | Alcatel Lucent | Privacy protection for third party data sharing |
| CN104616166A (en) * | 2014-11-17 | 2015-05-13 | 陈飞 | Method and system for precisely pushing information based on personal characteristic data |
| CN104574117A (en) * | 2015-01-08 | 2015-04-29 | 浪潮软件集团有限公司 | Invoice query function aggregation method and system |
| CN105430627A (en) * | 2015-11-12 | 2016-03-23 | 温州任和文化创意有限责任公司 | Message pushing method and system, and mobile terminal |
| CN105447724B (en) * | 2015-12-15 | 2022-04-05 | 腾讯科技（深圳）有限公司 | Content item recommendation method and device |
| CN105447724A (en) * | 2015-12-15 | 2016-03-30 | 腾讯科技（深圳）有限公司 | Content item recommendation method and apparatus |
| CN105678317A (en) * | 2015-12-30 | 2016-06-15 | 腾讯科技（深圳）有限公司 | Information processing method and server |
| CN105874457A (en) * | 2016-03-30 | 2016-08-17 | 马岩 | Network information push method and system |
| CN105939364A (en) * | 2016-07-12 | 2016-09-14 | 搜油郎成都科技有限公司 | Intelligent message push method and system |
| WO2018014771A1 (en) * | 2016-07-21 | 2018-01-25 | 阿里巴巴集团控股有限公司 | Data object pushing method, device and system |
| WO2018027846A1 (en) * | 2016-08-11 | 2018-02-15 | 张焰焰 | Method for collecting usage data of advertisement pushing technology, and pushing system |
| WO2018027845A1 (en) * | 2016-08-11 | 2018-02-15 | 张焰焰 | Information pushing method for use when matching books and advertisements, and pushing system |
| WO2018027844A1 (en) * | 2016-08-11 | 2018-02-15 | 张焰焰 | Method for pushing advertisements based on reading, and pushing system |
| CN106354782A (en) * | 2016-08-23 | 2017-01-25 | 天津火炬鑫茂创业服务有限公司 | Information tracking and promotion system |
| CN108170445A (en) * | 2016-12-07 | 2018-06-15 | 北大医疗信息技术有限公司 | Method for pushing and pusher |
| CN108287834A (en) * | 2017-01-09 | 2018-07-17 | 百度在线网络技术（北京）有限公司 | Method, apparatus and computing device for pushed information |
| CN107040454A (en) * | 2017-03-20 | 2017-08-11 | 微梦创科网络科技（中国）有限公司 | Unread message based reminding method and device under a kind of quick more new scene of big data quantity |
| CN107657064A (en) * | 2017-10-31 | 2018-02-02 | 深圳市辉驰达网络电子商务有限公司 | Data configuration method and system |
| CN108596705A (en) * | 2018-03-23 | 2018-09-28 | 郑州大学西亚斯国际学院 | A kind of commodity suitable for e-commerce recommend method and system with information classification |
| CN111046297A (en) * | 2020-03-12 | 2020-04-21 | 深圳市成功快车科技有限公司 | Service intelligent matching recommendation method, device, equipment and storage medium based on machine learning algorithm |
| CN111833096A (en) * | 2020-06-10 | 2020-10-27 | 北京龙云科技有限公司 | Advertisement recommendation method and system based on machine learning |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102340514B (en) | 2015-07-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102340514B (en) | Network information push method and system | |
| US9374396B2 (en) | Recommended content for an endorsement user interface | |
| US9262770B2 (en) | Correlating web page visits and conversions with external references | |
| Gretzel et al. | Differences in consumer-generated media adoption and use: A cross-national perspective | |
| US10713666B2 (en) | Systems and methods for curating content | |
| US20070220010A1 (en) | Targeted content delivery for networks | |
| US20160117388A1 (en) | Searching and Accessing Application Functionality | |
| US20110238608A1 (en) | Method and apparatus for providing personalized information resource recommendation based on group behaviors | |
| US20110288911A1 (en) | System, Method and Computer Program Product for Collecting and Distributing Mobile Content | |
| CN101609457A (en) | A kind of method and device that the start page recommended configuration is provided | |
| US20120066233A1 (en) | System and methods for mapping user reviewed and rated websites to specific user activities | |
| CN102708132A (en) | Method and system for webpage recommendation | |
| US20140173031A1 (en) | Information providing apparatus, information providing method, and network system | |
| JP2003216608A (en) | Information collecting/analyzing method and system | |
| JP5982968B2 (en) | Electronic book display device, collection information display program, and collection information display method | |
| US20140101064A1 (en) | Systems and Methods for Automated Reprogramming of Displayed Content | |
| Van Looy | Search engine optimization | |
| US20150248491A1 (en) | Data processing device and data processing method | |
| Gyamera et al. | Analyzing & optimizing a small-scale e-commerce website: case company: Kipfashion | |
| KR100736276B1 (en) | Method for providing information in data communication network including repaying earnings type advertising method | |
| Gatziolis et al. | Discovering the impact of user profiling in e-services | |
| Mittal | IMPORTANCE OF WEBSITE OPTIMIZATION THROUGH SEO | |
| Hecht | Improving UX of Open Government Data Platforms | |
| KR20230010369A (en) | influencer Fashion Product Self-Production Platforms and Systems | |
| KR20140072243A (en) | Web site using the Query window advertising method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |