CN102387207A - Push method and system based on user feedback information - Google Patents
Push method and system based on user feedback information Download PDFInfo
- Publication number
- CN102387207A CN102387207A CN2011103236169A CN201110323616A CN102387207A CN 102387207 A CN102387207 A CN 102387207A CN 2011103236169 A CN2011103236169 A CN 2011103236169A CN 201110323616 A CN201110323616 A CN 201110323616A CN 102387207 A CN102387207 A CN 102387207A
- Authority
- CN
- China
- Prior art keywords
- user
- feedback information
- field
- interest
- content recommendation
- 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.)
- Pending
Links
Images
Abstract
The embodiment of the invention discloses a push method and system based on user feedback information and relates to the technical field of communication networks. According to the push method and system provided by the invention, feedback information of a user can be effectively collected and contents interested by the user are pushed to a user terminal according to the feedback condition of the user, so that the push efficiency is improved. The push method based on the user feedback information provided by the invention comprises the following steps of: collecting the feedback information of the user from the user terminal; gathering the collected feedback information and processing the data format of the feedback information into the data format which can be identified by a recommendation system, wherein the feedback information is used for analyzing keywords which are interested by the user and fields of interests.
Description
Technical field
The present invention relates to the communication network technology field, relate in particular to a kind of method for pushing and supplying system based on field feedback.
Background technology
Push technology is meant the technology that initiatively information is mail to client by server, and multiple expression forms of information such as note, mail, the Web page, window are arranged, and content comprises advertisement, news, content recommendation etc.Along with development of Communication Technique,, day by day become the main means that operator carries out advertisement marketing, flow operation to user terminal pushed advertisement and initiatively professional, the service of recommendation.
Present communication server end is usually according to arranging good playlist, and to user terminal pushed advertisement information, the contents such as advertisement that just will throw in are through do input after setting and the layout by hand again.And this kind input mode is play according to certain rule common every day, wherein contains a large number of users and does not hope the content seen.It is thus clear that, the method for pushing of prior art, the channel of neither one and user interaction can not in time be collected audient's reaction and is fed back to operator, and user's interest information also can't be thrown in according to user's hobby by operators etc., causes the excessive harassing and wrecking to the user.In addition, a large amount of inputs and layout overwork rely on manual operations, cause time waste and input accident to take place again and again.
Summary of the invention
Embodiments of the invention technical problem to be solved is to provide a kind of method for pushing and supplying system based on field feedback, can effectively collect user's feedback information, thereby improve the success rate of pushing efficiency and marketing.
For solving the problems of the technologies described above, embodiments of the invention adopt following technical scheme:
A kind of method for pushing based on field feedback comprises:
Collect user's feedback information at user terminal; Said feedback information comprises explicit feedback information and implicit feedback information; Said explicit feedback information comprises that the user describes direct evaluation, scoring and the level of interest of content recommendation; Said implicit feedback information comprises the operation behavior through monitoring and recording user, the content recommendation page address of the user who obtains direct requests for page address and user's request;
Gather the said feedback information of collecting; The data format of said feedback information is treated to the discernible data format of commending system; And said feedback information is sent to commending system, said feedback information is used to supply said commending system analysis to obtain the field under user's interest keyword and the interest.
A kind of supplying system based on field feedback comprises field feedback collection module and gateway, and said field feedback collection module is arranged on user terminal,
Said field feedback collection module; Be used for collecting user's feedback information at user terminal; Said feedback information comprises explicit feedback information and implicit feedback information; Said explicit feedback information comprises that the user describes direct evaluation, scoring and the level of interest of content recommendation, and said implicit feedback information comprises the operation behavior through monitoring and recording user, the content recommendation page address of the user who obtains direct requests for page address and user's request;
Said gateway; Be used to gather the said feedback information of collecting; The data format of said feedback information is treated to the discernible data format of commending system, and said feedback information is sent to commending system, said feedback information is used to supply said commending system analysis to obtain user's interest keyword and the affiliated said commending system in field of interest; Be used to analyze said feedback information; Obtain the field under user's interest keyword and the interest, and content that will be to be pushed, according to said keyword and interest under the size of the degree of correlation in field sort; Then content said to be pushed is taken to one item missing from height to low by the size of the degree of correlation, is sent to user terminal.
The method for pushing and the supplying system based on field feedback of the embodiment of the invention; Through collecting user's explicit feedback information and implicit feedback information at user terminal, feedback information that can the comprehensive collection user, and pass through the protocol conversion function of gateway self; The data format of feedback information is treated to the discernible data format of commending system; Efficiently solve the adaptive problem of data of commending system, improved the efficient that commending system is analyzed, and then the effective collection field feedback; Improved the accuracy rate of commending system, further improved the success rate of pushing efficiency and marketing to user terminal propelling movement user's interest content.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art; The accompanying drawing of required use is done to introduce simply in will describing embodiment below; Obviously, the accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills; Under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is based on one of schematic flow sheet of the method for pushing of field feedback in the embodiment of the invention;
Fig. 2 is based on two of the schematic flow sheet of the method for pushing of field feedback in the embodiment of the invention;
Fig. 3 is based on the sketch map of the supplying system of field feedback in the embodiment of the invention.
Embodiment
The embodiment of the invention provides a kind of method for pushing and supplying system based on field feedback; Can effectively collect user's feedback information; And, push the user's interest content to user terminal, thereby improved the success rate of pushing efficiency and marketing according to user's feedback.
Below in conjunction with accompanying drawing the embodiment of the invention is done detailed description.
Embodiment one
Present embodiment provides a kind of method for pushing based on field feedback, and is as shown in Figure 1, and this method comprises:
User terminal in the present embodiment is cellphone subscriber terminal or computer user terminal.Feedback information comprises explicit feedback information and implicit feedback information; Explicit feedback information comprises that the user describes direct evaluation, scoring and the level of interest of content recommendation; For instance; Can increase elements such as button, framework at the UI interface, the user through button click or in framework the mode of input characters estimate content recommendation, perhaps select fancy grade.
Implicit feedback information comprises the operation behavior through monitoring and recording user; The content recommendation page address of the user who obtains direct requests for page address and user's request, the direct requests for page of user address are meant user page address that the personal inclination visited according to the user under the situation that has no prompting or recommend; The content recommendation page address of user request is meant the user after receiving content recommendation, the page address of the server recommendation of selecting according to own hobby.Think generally speaking, the user capture frequency high or the page and content be the user's interest content.In addition, through the content recommendation page address of difference recording user direct requests for page address and user's request, can also add up obtaining recommendation effect.
Further, implicit feedback information also comprises the form of expression of content recommendation and the display position of content recommendation, and commending system is analyzed the form of expression and the display position that obtain user preferences according to the form of expression of content recommendation and the display position of content recommendation.Which kind of mode is the form of expression be meant through represents content recommendation to the user, and like forms such as Email, note, windows, display position is meant the position that appears at display screen.
Commending system (Recommender System) is meant a kind of system of recommending its possibility information of interest through Information Statistics, calculating, filtration etc. to the user; Different commending system institute ability recognition data forms is also inequality; Therefore; Before the feedback information of collecting is sent to commending system, need the data format of feedback information be treated to the discernible data format of commending system.
As the preferred a kind of execution mode of the present invention; Can gather the feedback information of collecting through gateway; Gateway is through the protocol conversion function of self, and the data format with feedback information is treated to the discernible data format of commending system again, efficiently solves the adaptive problem of data of commending system; Improve the efficient that commending system is analyzed, then feedback information has been sent to commending system.
Further, as shown in Figure 2, present embodiment is further comprising the steps of:
Step 103, commending system are analyzed said feedback information, obtain the field under user's interest keyword and the interest, and content that will be to be pushed, according to said keyword and interest under the size of the degree of correlation in field sort.
After commending system receives feedback information; Feedback information is integrated, analyzed; Obtain the affiliated field of user's interest keyword and interest; According to the field under the keyword that obtains and the interest, retrieve content to be pushed then, and with result for retrieval according to said keyword and interest under the size of the degree of correlation in field sort.The content recommendation that the degree of correlation is big is thought the user's interest content.
Further; For being obtained analysis result more accurately; Commending system is according to the content recommendation page address of the user direct requests for page address that receives and user's request; The content recommendation page of the direct requests for page of calling party and user's request, and the data message of the content recommendation page of the direct requests for page of the said user of depth analysis and user's request, the further hobby of digging user.
Step 104, commending system extremely hang down content said to be pushed from height by the size of the degree of correlation and are taken to one item missing, are sent to user terminal, upgrade said content recommendation.
After retrieval, ordering were accomplished, at least one the content to be pushed that commending system is bigger with the degree of correlation was sent to user terminal, and concrete item number can be according to the needs choose reasonable of user terminal, upgraded original content recommendation in the page of user terminal then.Content recommendation in the present embodiment can be contents such as the recreation that provides of advertisement, news, ISP, music, picture, and concrete content recommendation is according to the marketing purposes choose reasonable of operator.
Further, commending system is set up news file for each user, stores in said each user's the news file analyze each user's interest keyword obtain and the field under the interest at every turn.Through the feedback information of long record, statistics of user's, commending system can obtain more accurate analytical results.
The method for pushing based on field feedback of present embodiment; Through collecting user's feedback information at user terminal, analyze feedback information by commending system then, obtain the affiliated field of user's interest keyword and interest; And content that will be to be pushed; According to said keyword and interest under the size ordering of the degree of correlation in field, content that again will be to be pushed is taken to method that one item missing be sent to user terminal from height to low by the size of the degree of correlation, selectively pushes content recommendation to the user; Not only can the effective collection field feedback; Can also push the user's interest content to user terminal, thereby improve the success rate of pushing efficiency and marketing according to user's feedback.
Embodiment two
Present embodiment provides a kind of supplying system based on field feedback, shown in Fig. 3 frame of broken lines, comprising: field feedback collection module 1 and gateway 2; Said field feedback collection module 1 is arranged on user terminal; User terminal realizes and the communicating by letter of server through gateway 2, wherein
Said field feedback collection module 1; Be used for collecting user's feedback information at user terminal; Said feedback information comprises explicit feedback information and implicit feedback information; Said explicit feedback information comprises that the user describes direct evaluation, scoring and the level of interest of content recommendation, and said implicit feedback information comprises the operation behavior through monitoring and recording user, the content recommendation page address of the user who obtains direct requests for page address and user's request;
Said gateway 2; Be used to gather the said feedback information of collecting; The data format of said feedback information is treated to the discernible data format of commending system; And said feedback information is sent to commending system, said feedback information is used to supply said commending system analysis to obtain the field under user's interest keyword and the interest.
Further; The supplying system based on field feedback of present embodiment also comprises commending system 3; Said commending system 3 is arranged on server end, is used to analyze said feedback information, obtains the affiliated field of user's interest keyword and interest; And content that will be to be pushed, according to said keyword and interest under the size ordering of the degree of correlation in field; Then content said to be pushed is taken to one item missing from height to low by the size of the degree of correlation, is sent to user terminal.
Further, the commending system 3 of present embodiment specifically is used for:
Content recommendation page address according to user direct requests for page address and user's request; The content recommendation page of the direct requests for page of commending system calling party and user's request, and the data message of the content recommendation page of the direct requests for page of the said user of depth analysis and user's request.
The supplying system based on field feedback of present embodiment also comprises:
News file is set up module 4, be used to each user and set up news file, and the field under each user's interest keyword that will obtain and the interest is stored in said each user's the news file.
Further; Implicit feedback information in the present embodiment also comprises the form of expression of content recommendation and the display position of content recommendation; Commending system is analyzed the form of expression and the display position that obtain user preferences according to the form of expression of said content recommendation and the display position of content recommendation.The user terminal of present embodiment is cellphone subscriber terminal or computer user terminal.
Present embodiment similar based on the operation principle of the supplying system each several part of field feedback and the course of work and embodiment one repeated no more at this.
The supplying system based on field feedback of present embodiment; Collect user's feedback information through the field feedback collection module at user terminal, analyze feedback information by commending system then, obtain the affiliated field of user's interest keyword and interest; And content that will be to be pushed; According to said keyword and interest under the size ordering of the degree of correlation in field, content that again will be to be pushed is taken to method that one item missing be sent to user terminal from height to low by the size of the degree of correlation, selectively pushes content recommendation to the user; Not only can the effective collection field feedback; Can also push the user's interest content to user terminal, thereby improve the success rate of pushing efficiency and marketing according to user's feedback.
Through the description of above execution mode, the those skilled in the art can be well understood to the present invention and can realize by the mode that software adds essential common hardware, can certainly pass through hardware, but the former is better execution mode under a lot of situation.Based on such understanding; The part that technical scheme of the present invention contributes to prior art in essence in other words can be come out with the embodied of software product, and this computer software product is stored in the storage medium that can read, like the floppy disk of computer; Hard disk or CD etc.; Comprise some instructions with so that computer equipment (can be personal computer, server, the perhaps network equipment etc.) carry out the described method of each embodiment of the present invention.
The above; Be merely embodiment of the present invention, but protection scope of the present invention is not limited thereto, any technical staff who is familiar with the present technique field is in the technical scope that the present invention discloses; Can expect easily changing or replacement, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection range of said claim.
Claims (10)
1. the method for pushing based on field feedback is characterized in that, comprising:
Collect user's feedback information at user terminal; Said feedback information comprises explicit feedback information and implicit feedback information; Said explicit feedback information comprises that the user describes direct evaluation, scoring and the level of interest of content recommendation; Said implicit feedback information comprises the operation behavior through monitoring and recording user, the content recommendation page address of the user who obtains direct requests for page address and user's request;
Gather the said feedback information of collecting; The data format of said feedback information is treated to the discernible data format of commending system; And said feedback information is sent to commending system, said feedback information is used to supply said commending system analysis to obtain the field under user's interest keyword and the interest.
2. the method for pushing based on field feedback according to claim 1 is characterized in that, also comprises:
Commending system is analyzed said feedback information, obtains the field under user's interest keyword and the interest, and content that will be to be pushed, according to said keyword and interest under the size of the degree of correlation in field sort;
Commending system extremely hangs down content said to be pushed from height by the size of the degree of correlation and is taken to one item missing, is sent to user terminal.
3. the method for pushing based on field feedback according to claim 2 is characterized in that, said commending system is analyzed said feedback information, comprising:
Content recommendation page address according to user direct requests for page address and user's request; The content recommendation page of the direct requests for page of commending system calling party and user request, and analyze the data message of the content recommendation page that the direct requests for page of said user and user ask.
4. the method for pushing based on field feedback according to claim 1 is characterized in that, also comprises:
For each user sets up news file, the field under each user's interest keyword that obtains and the interest is stored in said each user's the news file.
5. the method for pushing based on field feedback according to claim 1; It is characterized in that; Said implicit feedback information also comprises the form of expression of content recommendation and the display position of content recommendation; Commending system is analyzed the form of expression and the display position that obtain user preferences according to the form of expression of said content recommendation and the display position of content recommendation.
6. the pushing equipment supplying system based on field feedback is characterized in that, comprises field feedback collection module and gateway, and said field feedback collection module is arranged on user terminal,
Said field feedback collection module; Be used for collecting user's feedback information at user terminal; Said feedback information comprises explicit feedback information and implicit feedback information; Said explicit feedback information comprises that the user describes direct evaluation, scoring and the level of interest of content recommendation, and said implicit feedback information comprises the operation behavior through monitoring and recording user, the content recommendation page address of the user who obtains direct requests for page address and user's request;
Said gateway; Be used to gather the said feedback information of collecting; The data format of said feedback information is treated to the discernible data format of commending system; And said feedback information is sent to commending system, said feedback information is used to supply said commending system analysis to obtain the field under user's interest keyword and the interest.
7. the supplying system based on field feedback according to claim 6 is characterized in that, also comprises:
Commending system; Said commending system is arranged on server end, is used to analyze said feedback information, obtains the affiliated field of user's interest keyword and interest; And content that will be to be pushed, according to said keyword and interest under the size ordering of the degree of correlation in field; Then content said to be pushed is taken to one item missing from height to low by the size of the degree of correlation, is sent to user terminal.
8. the supplying system based on field feedback according to claim 7 is characterized in that, said commending system specifically is used for:
Content recommendation page address according to user direct requests for page address and user's request; The content recommendation page of the direct requests for page of commending system calling party and user's request, and the data message of the content recommendation page of the direct requests for page of the said user of depth analysis and user's request.
9. the supplying system based on field feedback according to claim 6 is characterized in that, also comprises:
News file is set up module, be used to each user and set up news file, and the field under each user's interest keyword that will obtain and the interest is stored in said each user's the news file.
10. the supplying system based on field feedback according to claim 6; It is characterized in that; Said implicit feedback information also comprises the form of expression of content recommendation and the display position of content recommendation; Commending system is analyzed the form of expression and the display position that obtain user preferences according to the form of expression of said content recommendation and the display position of content recommendation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011103236169A CN102387207A (en) | 2011-10-21 | 2011-10-21 | Push method and system based on user feedback information |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011103236169A CN102387207A (en) | 2011-10-21 | 2011-10-21 | Push method and system based on user feedback information |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102387207A true CN102387207A (en) | 2012-03-21 |
Family
ID=45826167
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2011103236169A Pending CN102387207A (en) | 2011-10-21 | 2011-10-21 | Push method and system based on user feedback information |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102387207A (en) |
Cited By (46)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102761609A (en) * | 2012-06-29 | 2012-10-31 | 宇龙计算机通信科技(深圳)有限公司 | Data push system and method for server |
| CN102932760A (en) * | 2012-10-29 | 2013-02-13 | 北京小米科技有限责任公司 | Method, device and equipment for establishing conversation |
| CN103177107A (en) * | 2013-03-27 | 2013-06-26 | 百度在线网络技术（北京）有限公司 | Recommendation method and device |
| CN103324742A (en) * | 2013-06-28 | 2013-09-25 | 百度在线网络技术（北京）有限公司 | Method and equipment for recommending keywords |
| WO2013185601A1 (en) * | 2012-06-11 | 2013-12-19 | 腾讯科技（深圳）有限公司 | Method and device for obtaining product information and computer storage medium |
| CN103546517A (en) * | 2012-07-16 | 2014-01-29 | 腾讯科技（深圳）有限公司 | Network information pushing system and network information pushing method |
| CN103577429A (en) * | 2012-07-25 | 2014-02-12 | 阿里巴巴集团控股有限公司 | Method and device for data analysis and data query |
| CN103841132A (en) * | 2012-11-21 | 2014-06-04 | 腾讯科技（深圳）有限公司 | Information pushing method, information receiving method, information interaction method, server, client and information interaction device |
| CN103873530A (en) * | 2012-12-18 | 2014-06-18 | 北京裕丰大通科技有限公司 | Information recommending method of multi-channel information feedback |
| CN104036117A (en) * | 2014-05-14 | 2014-09-10 | 北京网河时代科技有限公司 | Self-adaptive learning method and system based on sensor network |
| WO2014180393A1 (en) * | 2013-10-21 | 2014-11-13 | 中兴通讯股份有限公司 | Information collection method and device |
| CN104268155A (en) * | 2014-09-02 | 2015-01-07 | 百度在线网络技术（北京）有限公司 | Immediate mobile terminal personalized recommendation feedback and optimization method and device |
| WO2015010664A1 (en) * | 2013-07-22 | 2015-01-29 | 烽火通信科技股份有限公司 | Home gateway-based system and method for advertisement pushing |
| CN104424342A (en) * | 2013-09-11 | 2015-03-18 | 携程计算机技术（上海）有限公司 | Method for keyword matching, and device, server and system of method |
| CN104572942A (en) * | 2014-12-30 | 2015-04-29 | 小米科技有限责任公司 | Push message display method and push message display device |
| CN104620267A (en) * | 2012-06-21 | 2015-05-13 | 汤姆逊许可公司 | Method and apparatus for inferring user demographics |
| CN104641386A (en) * | 2012-06-21 | 2015-05-20 | 汤姆逊许可公司 | Method and apparatus for obfuscating user demographics |
| CN104767670A (en) * | 2014-01-08 | 2015-07-08 | 陈英 | Message push system and method |
| CN105095508A (en) * | 2015-08-31 | 2015-11-25 | 北京奇艺世纪科技有限公司 | Multimedia content recommendation method and multimedia content recommendation apparatus |
| CN105243103A (en) * | 2015-09-19 | 2016-01-13 | 杭州电子科技大学 | Content based push time determination method |
| WO2016019791A1 (en) * | 2014-08-06 | 2016-02-11 | 阿里巴巴集团控股有限公司 | Method and device of collecting and processing user feedback on webpage |
| CN105447155A (en) * | 2015-11-30 | 2016-03-30 | 中国建设银行股份有限公司 | Information recommendation system and information recommendation method |
| CN105871940A (en) * | 2016-06-27 | 2016-08-17 | 乐视控股（北京）有限公司 | Information recommending method and system |
| CN105893398A (en) * | 2015-10-12 | 2016-08-24 | 乐视网信息技术（北京）股份有限公司 | Multimedia content recommendation method and device, user terminal equipment and server |
| CN105989045A (en) * | 2015-02-04 | 2016-10-05 | 华为技术有限公司 | Method, device and system for recommending persuasion content |
| CN106156251A (en) * | 2015-04-28 | 2016-11-23 | 天脉聚源（北京）科技有限公司 | A kind of wechat information classification method for pushing and system |
| CN106302113A (en) * | 2016-08-05 | 2017-01-04 | 海南电保姆科技有限公司 | Feedback information treating method and apparatus |
| CN106549965A (en) * | 2016-11-07 | 2017-03-29 | 安徽味唯网络科技有限公司 | A kind of method of intelligently filters information |
| US9712474B2 (en) | 2012-11-21 | 2017-07-18 | Tencent Technology (Shenzhen) Company Limited | Information push, receiving and exchanging method, server, client and exchanging apparatus |
| WO2017197806A1 (en) * | 2016-05-17 | 2017-11-23 | 北京百度网讯科技有限公司 | Method for providing intelligent service, intelligent service system and intelligent terminal based on artificial intelligence |
| CN107423308A (en) * | 2016-05-24 | 2017-12-01 | 华为技术有限公司 | subject recommending method and device |
| CN107612966A (en) * | 2017-08-11 | 2018-01-19 | 百度在线网络技术（北京）有限公司 | Feed information feedback processing methods and system |
| CN107798012A (en) * | 2016-09-05 | 2018-03-13 | 腾讯科技（深圳）有限公司 | Read resource comments on method for pushing and 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 |
| CN108713213A (en) * | 2015-12-28 | 2018-10-26 | 庞博拉公司 | Surge detector for content consumption |
| CN108848022A (en) * | 2018-06-05 | 2018-11-20 | 华南理工大学 | A kind of information push method based on scene and user behavior |
| CN109034912A (en) * | 2018-08-23 | 2018-12-18 | 杭州创梦汇科技有限公司 | A kind of information transmission system of the e-commerce operation with audient's screening |
| CN109376310A (en) * | 2018-09-28 | 2019-02-22 | 乐蜜有限公司 | User's recommended method, device, electronic equipment and computer readable storage medium |
| CN109522480A (en) * | 2018-11-12 | 2019-03-26 | 北京羽扇智信息科技有限公司 | A kind of information recommendation method, device, electronic equipment and storage medium |
| CN110321487A (en) * | 2019-07-01 | 2019-10-11 | 上海硕恩网络科技股份有限公司 | A kind of accurate label recommendations system and its workflow |
| CN111177575A (en) * | 2020-04-07 | 2020-05-19 | 腾讯科技（深圳）有限公司 | Content recommendation method and device, electronic equipment and storage medium |
| CN111353091A (en) * | 2018-12-24 | 2020-06-30 | 北京三星通信技术研究有限公司 | Information processing method and device, electronic equipment and readable storage medium |
| CN111428129A (en) * | 2020-02-28 | 2020-07-17 | 海南和方信息科技有限公司 | Game information pushing method, system and storage medium thereof |
| CN111984862A (en) * | 2020-07-30 | 2020-11-24 | 苏州热工研究院有限公司 | Experience feedback data pushing method and device for nuclear power plant business department |
| CN112218126A (en) * | 2020-10-12 | 2021-01-12 | 广州欢网科技有限责任公司 | Content recommendation effect feedback method, system and equipment based on terminal |
| CN113032662A (en) * | 2021-03-31 | 2021-06-25 | 龙关玲 | Block chain big data recommendation method and system based on artificial intelligence and cloud platform |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101034997A (en) * | 2006-03-09 | 2007-09-12 | 新数通兴业科技（北京）有限公司 | Method and system for accurately publishing the data information |
-
2011
- 2011-10-21 CN CN2011103236169A patent/CN102387207A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101034997A (en) * | 2006-03-09 | 2007-09-12 | 新数通兴业科技（北京）有限公司 | Method and system for accurately publishing the data information |
Cited By (66)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013185601A1 (en) * | 2012-06-11 | 2013-12-19 | 腾讯科技（深圳）有限公司 | Method and device for obtaining product information and computer storage medium |
| CN103488635A (en) * | 2012-06-11 | 2014-01-01 | 腾讯科技（深圳）有限公司 | Method and device for acquiring product information |
| CN104620267A (en) * | 2012-06-21 | 2015-05-13 | 汤姆逊许可公司 | Method and apparatus for inferring user demographics |
| CN104641386A (en) * | 2012-06-21 | 2015-05-20 | 汤姆逊许可公司 | Method and apparatus for obfuscating user demographics |
| CN102761609A (en) * | 2012-06-29 | 2012-10-31 | 宇龙计算机通信科技(深圳)有限公司 | Data push system and method for server |
| CN102761609B (en) * | 2012-06-29 | 2016-05-04 | 宇龙计算机通信科技(深圳)有限公司 | For data delivery system and the data push method of server |
| US10171604B2 (en) | 2012-07-16 | 2019-01-01 | Tencent Technology (Shenzhen) Company Limited | System and method for pushing network information |
| CN103546517A (en) * | 2012-07-16 | 2014-01-29 | 腾讯科技（深圳）有限公司 | Network information pushing system and network information pushing method |
| CN103546517B (en) * | 2012-07-16 | 2018-03-20 | 腾讯科技（深圳）有限公司 | Network information push system and method |
| CN103577429A (en) * | 2012-07-25 | 2014-02-12 | 阿里巴巴集团控股有限公司 | Method and device for data analysis and data query |
| CN102932760A (en) * | 2012-10-29 | 2013-02-13 | 北京小米科技有限责任公司 | Method, device and equipment for establishing conversation |
| CN103841132A (en) * | 2012-11-21 | 2014-06-04 | 腾讯科技（深圳）有限公司 | Information pushing method, information receiving method, information interaction method, server, client and information interaction device |
| US9712474B2 (en) | 2012-11-21 | 2017-07-18 | Tencent Technology (Shenzhen) Company Limited | Information push, receiving and exchanging method, server, client and exchanging apparatus |
| CN103841132B (en) * | 2012-11-21 | 2015-08-19 | 腾讯科技（深圳）有限公司 | Information pushing, reception and exchange method, server, client and interactive device |
| CN103873530B (en) * | 2012-12-18 | 2017-07-11 | 北京裕丰大通科技有限公司 | Multichannel information feedack recommends method |
| CN103873530A (en) * | 2012-12-18 | 2014-06-18 | 北京裕丰大通科技有限公司 | Information recommending method of multi-channel information feedback |
| CN103177107A (en) * | 2013-03-27 | 2013-06-26 | 百度在线网络技术（北京）有限公司 | Recommendation method and device |
| CN103324742B (en) * | 2013-06-28 | 2017-03-29 | 百度在线网络技术（北京）有限公司 | The method and apparatus of recommended keywords |
| CN103324742A (en) * | 2013-06-28 | 2013-09-25 | 百度在线网络技术（北京）有限公司 | Method and equipment for recommending keywords |
| WO2015010664A1 (en) * | 2013-07-22 | 2015-01-29 | 烽火通信科技股份有限公司 | Home gateway-based system and method for advertisement pushing |
| CN104424342A (en) * | 2013-09-11 | 2015-03-18 | 携程计算机技术（上海）有限公司 | Method for keyword matching, and device, server and system of method |
| US10346414B2 (en) | 2013-10-21 | 2019-07-09 | Xi'an Zhongxing New Software Co. Ltd. | Information collection method and device |
| WO2014180393A1 (en) * | 2013-10-21 | 2014-11-13 | 中兴通讯股份有限公司 | Information collection method and device |
| CN104767670A (en) * | 2014-01-08 | 2015-07-08 | 陈英 | Message push system and method |
| CN104036117A (en) * | 2014-05-14 | 2014-09-10 | 北京网河时代科技有限公司 | Self-adaptive learning method and system based on sensor network |
| CN104036117B (en) * | 2014-05-14 | 2017-05-03 | 北京网河时代科技有限公司 | Self-adaptive learning method based on sensor network |
| WO2016019791A1 (en) * | 2014-08-06 | 2016-02-11 | 阿里巴巴集团控股有限公司 | Method and device of collecting and processing user feedback on webpage |
| CN104268155A (en) * | 2014-09-02 | 2015-01-07 | 百度在线网络技术（北京）有限公司 | Immediate mobile terminal personalized recommendation feedback and optimization method and device |
| CN104572942A (en) * | 2014-12-30 | 2015-04-29 | 小米科技有限责任公司 | Push message display method and push message display device |
| CN105989045A (en) * | 2015-02-04 | 2016-10-05 | 华为技术有限公司 | Method, device and system for recommending persuasion content |
| CN106156251A (en) * | 2015-04-28 | 2016-11-23 | 天脉聚源（北京）科技有限公司 | A kind of wechat information classification method for pushing and system |
| CN105095508A (en) * | 2015-08-31 | 2015-11-25 | 北京奇艺世纪科技有限公司 | Multimedia content recommendation method and multimedia content recommendation apparatus |
| CN105243103A (en) * | 2015-09-19 | 2016-01-13 | 杭州电子科技大学 | Content based push time determination method |
| CN105893398A (en) * | 2015-10-12 | 2016-08-24 | 乐视网信息技术（北京）股份有限公司 | Multimedia content recommendation method and device, user terminal equipment and server |
| CN105447155A (en) * | 2015-11-30 | 2016-03-30 | 中国建设银行股份有限公司 | Information recommendation system and information recommendation method |
| CN108713213B (en) * | 2015-12-28 | 2022-08-26 | 庞博拉公司 | Surge detector for content consumption |
| CN108713213A (en) * | 2015-12-28 | 2018-10-26 | 庞博拉公司 | Surge detector for content consumption |
| US11651002B2 (en) | 2016-05-17 | 2023-05-16 | Beijing Baidu Netcom Science And Technology Co., Ltd. | Method for providing intelligent service, intelligent service system and intelligent terminal based on artificial intelligence |
| WO2017197806A1 (en) * | 2016-05-17 | 2017-11-23 | 北京百度网讯科技有限公司 | Method for providing intelligent service, intelligent service system and intelligent terminal based on artificial intelligence |
| CN107423308B (en) * | 2016-05-24 | 2020-07-07 | 华为技术有限公司 | Theme recommendation method and device |
| US11830033B2 (en) | 2016-05-24 | 2023-11-28 | Huawei Technologies Co., Ltd. | Theme recommendation method and apparatus |
| CN107423308A (en) * | 2016-05-24 | 2017-12-01 | 华为技术有限公司 | subject recommending method and device |
| US20190087884A1 (en) | 2016-05-24 | 2019-03-21 | Huawei Technologies Co., Ltd. | Theme recommendation method and apparatus |
| CN105871940A (en) * | 2016-06-27 | 2016-08-17 | 乐视控股（北京）有限公司 | Information recommending method and system |
| CN106302113A (en) * | 2016-08-05 | 2017-01-04 | 海南电保姆科技有限公司 | Feedback information treating method and apparatus |
| CN107798012A (en) * | 2016-09-05 | 2018-03-13 | 腾讯科技（深圳）有限公司 | Read resource comments on method for pushing and system |
| CN107798012B (en) * | 2016-09-05 | 2021-12-14 | 腾讯科技（深圳）有限公司 | Reading resource comment pushing method and system |
| CN106549965A (en) * | 2016-11-07 | 2017-03-29 | 安徽味唯网络科技有限公司 | A kind of method of intelligently filters information |
| 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 |
| CN107612966A (en) * | 2017-08-11 | 2018-01-19 | 百度在线网络技术（北京）有限公司 | Feed information feedback processing methods and system |
| CN108848022A (en) * | 2018-06-05 | 2018-11-20 | 华南理工大学 | A kind of information push method based on scene and user behavior |
| CN109034912B (en) * | 2018-08-23 | 2020-10-16 | 宁波海上鲜信息技术有限公司 | Information pushing system for electronic commerce operation with audience screening function |
| CN109034912A (en) * | 2018-08-23 | 2018-12-18 | 杭州创梦汇科技有限公司 | A kind of information transmission system of the e-commerce operation with audient's screening |
| CN109376310A (en) * | 2018-09-28 | 2019-02-22 | 乐蜜有限公司 | User's recommended method, device, electronic equipment and computer readable storage medium |
| CN109522480A (en) * | 2018-11-12 | 2019-03-26 | 北京羽扇智信息科技有限公司 | A kind of information recommendation method, device, electronic equipment and storage medium |
| CN111353091A (en) * | 2018-12-24 | 2020-06-30 | 北京三星通信技术研究有限公司 | Information processing method and device, electronic equipment and readable storage medium |
| CN110321487A (en) * | 2019-07-01 | 2019-10-11 | 上海硕恩网络科技股份有限公司 | A kind of accurate label recommendations system and its workflow |
| CN111428129A (en) * | 2020-02-28 | 2020-07-17 | 海南和方信息科技有限公司 | Game information pushing method, system and storage medium thereof |
| CN111177575A (en) * | 2020-04-07 | 2020-05-19 | 腾讯科技（深圳）有限公司 | Content recommendation method and device, electronic equipment and storage medium |
| CN111177575B (en) * | 2020-04-07 | 2020-07-24 | 腾讯科技（深圳）有限公司 | Content recommendation method and device, electronic equipment and storage medium |
| US11893071B2 (en) | 2020-04-07 | 2024-02-06 | Tencent Technology (Shenzhen) Company Limited | Content recommendation method and apparatus, electronic device, and storage medium |
| WO2021203819A1 (en) * | 2020-04-07 | 2021-10-14 | 腾讯科技（深圳）有限公司 | Content recommendation method and apparatus, electronic device, and storage medium |
| CN111984862A (en) * | 2020-07-30 | 2020-11-24 | 苏州热工研究院有限公司 | Experience feedback data pushing method and device for nuclear power plant business department |
| CN112218126A (en) * | 2020-10-12 | 2021-01-12 | 广州欢网科技有限责任公司 | Content recommendation effect feedback method, system and equipment based on terminal |
| CN113032662B (en) * | 2021-03-31 | 2021-11-26 | 艾普深瞳(北京)智能科技有限公司 | Block chain big data recommendation method and system based on artificial intelligence and cloud platform |
| CN113032662A (en) * | 2021-03-31 | 2021-06-25 | 龙关玲 | Block chain big data recommendation method and system based on artificial intelligence and cloud platform |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102387207A (en) | Push method and system based on user feedback information | |
| CN102026151B (en) | Service push method, apparatus and system based on process-monitoring | |
| CN101655868B (en) | Network data mining method, network data transmitting method and equipment | |
| CA2769946C (en) | A method and system for efficient and exhaustive url categorization | |
| CN104410516B (en) | A kind of customer service perceptibility appraisal procedure and device | |
| KR101874862B1 (en) | Intelligent Searching System for Billing data of Internet service and Method thereof | |
| CN105898209A (en) | Video platform monitoring and analyzing system | |
| CN103488635A (en) | Method and device for acquiring product information | |
| CN101103349A (en) | Method for extracting content, content extraction server based on RSS and apparatus for managing the same and system for providing standby screen of mobile communication terminal using the same | |
| CN104317804B (en) | The method and apparatus for issuing vote information | |
| CN103473302A (en) | Lock screen information display method, device and system | |
| CN108874812B (en) | Data processing method, server and computer storage medium | |
| KR102082063B1 (en) | How to Display Media Information, Servers, and Data Storage Media | |
| CN103324696B (en) | A kind of data log collection and statistical analysis system and method | |
| CN101383713B (en) | Internet advertisement information processing method | |
| CN114448921A (en) | Information display method and device based on social relation chain and server | |
| CN106227874A (en) | A kind of mobile news client based on UCL | |
| CN105447147A (en) | Data processing method and apparatus | |
| CN103077021A (en) | System and method for analyzing comprehensive development data of general mobile phone software | |
| CN102222112B (en) | Resource management device and resource management method | |
| WO2009076852A1 (en) | Method for classifying users, method and device for behavior collection and analyse | |
| CN104216889A (en) | Data transmissibility analysis and prediction method and system based on cloud service | |
| CN105407385A (en) | Video recommendation method and system | |
| US20180114279A1 (en) | Automatic Newsletter Creation | |
| US9756122B2 (en) | Using hierarchical reservoir sampling to compute percentiles at scale |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C12 | Rejection of a patent application after its publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20120321 |