CN101170426A - Personalized content distribution scheme based on user behavior (habit) analysis - Google Patents
Personalized content distribution scheme based on user behavior (habit) analysis Download PDFInfo
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- CN101170426A CN101170426A CNA2006101507470A CN200610150747A CN101170426A CN 101170426 A CN101170426 A CN 101170426A CN A2006101507470 A CNA2006101507470 A CN A2006101507470A CN 200610150747 A CN200610150747 A CN 200610150747A CN 101170426 A CN101170426 A CN 101170426A
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Abstract
A customized content publicizing scheme based on user behavior (habit) is realized. The technical proposal comprises the steps of: firstly determining a unique identifier for every user; collecting and storing the data of the user's various behavior to the user behavior database; analyzing and exploring the user's behavior database and generating user rules that are then stored into the user rule database. When the user accesses the service again, the user's behavior rule will be acquired according to the user's unique ID, and then customized information publicizing service will be provided to the current user according to the rule. The invention has well made up for the shortcomings of the current information publicizing system and increased the effectiveness of information publication.
Description
Affiliated technical field
This invention relates to but a kind of personalized content distribution scheme of analyzing based on user behavior (custom) of being not limited to internet and wireless Internet field.
Background technology
Most at present content release all adopts the distribution scheme of broadcasting, the content that is its issue all is living to all audients, content as each flash-news website issue of Internet, all as broad as long to all netizens, what different netizens logined that this website sees all is identical content, does not have to respect and embody netizen's personalization;
The distribution scheme that the simple coupling that also has at present the employing of partial content delivery system according to user's characteristics (age, sex, region) itself content of issue to be carried out is filtered, tentatively be referred to as narrow broadcast.The narrow broadcast scheme can be screened the information of being close to the users more according to user's feature itself, and broadcasting can allow the user that content publishers is produced stronger sense of ownership and cultivates loyalty relatively.
But, because the user characteristics that narrow broadcast relied on is that predefined is good, perhaps be referred to as static, some feature of user itself also can change along with the variation of age, region simultaneously, narrow broadcast can not be accomplished to respond in time these and change, thereby the effect of narrow broadcast can the decay gradually along with the time.
Summary of the invention
In order to solve the problems referred to above of current content distribution scheme, this invention provides a kind of personalized content distribution scheme of analyzing based on user behavior (custom).This scheme not only can be filtered the content of issue based on user's inherent feature (as: age, sex), and can be by analysis to user's historical behavior, the content that is distributed to this user is filtered, thereby assurance is distributed to the taste that user's information can meet the user more, remedied the deficiency that simple inherent feature is analyzed, guaranteed that the effect of narrow broadcast can be more and more accurate.
This invention solves the technical scheme that its technical problem adopts: system divides is sensing module (Sensor), collection module (Collector), analyze (excavation) module (Analyzer), four modules of display module (Displayer).Use unique ID to carry out distinguishing identifier for each user, this unique ID includes but not limited to user's log-on message and user's inherent feature (as: phone number, identification card number); Sensing module (Sensor) is collected user's individual information (age, area, behavior) from different data sources; Collection module (Collector) removes noise data to these data processing and sorting; Analyze (excavation) module (Analyzer) and carry out the excavation of user characteristics and rule of conduct according to the data after the arrangement, the rule of generation deposits the user policy storehouse in; Display module (Displayer) provides based on these regular content release services for the user afterwards according to the user policy that unique ID of active user searches this user's correspondence in the user policy storehouse.Can guarantee all difference to some extent of information issue result that each user sees like this.
The beneficial effect of this invention is: user's behavior can embody user's past and current interest tendency; This scheme just can dynamically be understood user's demand according to these tendencies, thereby the content of the personalization that is fit to its demand can be provided for different users, has increased the accuracy and the validity of content release simultaneously, reduces blindness, has saved resource.
Description of drawings
The present invention is further described below in conjunction with accompanying drawing:
Fig. 1 is the implementation framework based on the content delivering system of behavior (custom) analysis.
Fig. 2 is content delivering system typical flow figure-excavation flow process of analyzing based on behavior (custom).
Fig. 3 is content delivering system typical flow figure-issue flow process of analyzing based on behavior (custom).
Embodiment
The sensing module of system (Sensor) is collected user personality data (as: age, area, behavior etc.) from different data sources.Different data source difference is very big, and therefore every kind of data source all will be developed different sensing modules.It is independent that the exploitation that sensing module and main body are used keeps, and makes whole application have extensibility; Simultaneously, the sensing module of system is responsible for unique ID that the user generates this user of sign.
The collection module of system (Collector) is collected the data that send from sensing module, stores in the user personality information bank after these data preparations.Collection module can be subdivided into again to be monitored submodule, shaping submodule and sends submodule.Monitoring submodule is used for the port of interception system and receives the data that send from transducer; The shaping submodule removes noise data and will be the self-defining user characteristic data model of system from the data shaping in different pieces of information source; Send submodule and then the shaping result is sent to the user personality information bank.
The analysis module of system (Analyzer) extracts data from the user personality information bank, by these data analyses user's behavioural characteristic, and generate the user behavior rale store in the user policy storehouse.Analysis module is divided into the preliminary treatment submodule and excavates submodule.The preliminary treatment submodule carries out Feature Selection and preliminary treatment from database, excavate submodule and use classification, related scheduling algorithm to excavate, and analyzes and produces the user behavior rule.
The display module of system (Displayer) extracts the user according to active user's rule from the distributing content data storehouse individual information is showed.Display module at first extracts this user's rule of conduct from the user policy storehouse according to unique ID of active user, information is distributed to the coupling that the user at first carries out rule of conduct before, have only legal information just can be distributed to the user, thus the personalization of the information of realization issue.
This scheme is expressed as follows by an embodiment: in the wireless Internet field, unique ID of user can use this user's phone number.Wireless sensing module obtains user's phone number (the unique ID of user), and collects user's behavioural information.The user checks that the time length of certain bar information or the frequency of checking of certain category information can reflect this user's behavioural characteristic: if the active user is the football fan, he can stop the long period in football news so; And if the user is a young woman, then she may be interested in the toiletries advertisement.Wireless sensing module sends to collection module with these information after collecting these information in real time, by being saved in the user personality information bank after the collection module shaping.Analysis module obtains these information, and goes out user's interest tendency according to user's this index analysis reading time, obtains a rule about this user, stores in the user policy database.When the user visited once more, display module at first obtained unique ID of this user, utilized this ID to obtain the user behavior rule, if the information of obtaining from content distributed storehouse meets this rule (relevant with physical culture or relevant with cosmetics) then sends to the active user.
Certainly, the user does not have historical data when visiting for the first time, and information issue still can be taked the form broadcasted, but along with the increasing of user capture number of times, presenting to users' interfaces also can be more and more personalized.
Claims (2)
1. a personalized content distribution scheme of analyzing based on user behavior (custom) comprises a transducer, and the unique identification information that is used to obtain the user is collected user's behavioural information simultaneously; A gatherer, the behavioral data that is used to put in order the user is sent to the user behavior information bank simultaneously; An analysis (excavation) device is used for the excavation and the storage of user behavior rule; A display device is used for access user's Rule Information and shows user personality information.
2. scheme according to claim 1 is characterized by: use unique ID identifying user; Use various transducers to collect user behavior information; The program analysis user behavior rule that maintenance data excavates.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA2006101507470A CN101170426A (en) | 2006-10-25 | 2006-10-25 | Personalized content distribution scheme based on user behavior (habit) analysis |
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| CNA2006101507470A CN101170426A (en) | 2006-10-25 | 2006-10-25 | Personalized content distribution scheme based on user behavior (habit) analysis |
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| CN101170426A true CN101170426A (en) | 2008-04-30 |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101986605A (en) * | 2010-11-04 | 2011-03-16 | 北京迈朗世讯科技有限公司 | Method and system for processing web surfing data of user based on backbone network |
| CN102223608A (en) * | 2010-04-15 | 2011-10-19 | 宏达国际电子股份有限公司 | Personalized information service method and information platform |
| CN102456199A (en) * | 2010-10-18 | 2012-05-16 | 北京学之途网络科技有限公司 | Method and device for expanding internet user sample set and acquiring attribute parameter |
| WO2013040901A1 (en) * | 2011-09-19 | 2013-03-28 | 中兴通讯股份有限公司 | Server, and network data provision method and device |
| CN103036921A (en) * | 2011-09-29 | 2013-04-10 | 北京新媒传信科技有限公司 | User behavior analysis system and method |
| CN103034650A (en) * | 2011-09-29 | 2013-04-10 | 北京新媒传信科技有限公司 | System and method for processing data |
| CN105007184A (en) * | 2015-07-22 | 2015-10-28 | 胡东雁 | Acquisition method for user behavior habits |
| CN106332022A (en) * | 2016-08-23 | 2017-01-11 | 天津火炬鑫茂创业服务有限公司 | Short message information popularization system |
| CN105243087B (en) * | 2015-09-09 | 2018-08-31 | 浙江网新恒天软件有限公司 | IT syndication Personality of readingization recommends method |
| CN109309875A (en) * | 2018-09-03 | 2019-02-05 | 四川长虹电器股份有限公司 | A method of showing user behavior characteristics model on smart television |
-
2006
- 2006-10-25 CN CNA2006101507470A patent/CN101170426A/en active Pending
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102223608A (en) * | 2010-04-15 | 2011-10-19 | 宏达国际电子股份有限公司 | Personalized information service method and information platform |
| CN102456199A (en) * | 2010-10-18 | 2012-05-16 | 北京学之途网络科技有限公司 | Method and device for expanding internet user sample set and acquiring attribute parameter |
| CN101986605B (en) * | 2010-11-04 | 2013-04-24 | 北京迈朗世讯科技有限公司 | Method and system for processing web surfing data of user based on backbone network |
| CN101986605A (en) * | 2010-11-04 | 2011-03-16 | 北京迈朗世讯科技有限公司 | Method and system for processing web surfing data of user based on backbone network |
| WO2013040901A1 (en) * | 2011-09-19 | 2013-03-28 | 中兴通讯股份有限公司 | Server, and network data provision method and device |
| CN103034650A (en) * | 2011-09-29 | 2013-04-10 | 北京新媒传信科技有限公司 | System and method for processing data |
| CN103036921A (en) * | 2011-09-29 | 2013-04-10 | 北京新媒传信科技有限公司 | User behavior analysis system and method |
| CN103036921B (en) * | 2011-09-29 | 2015-09-23 | 北京新媒传信科技有限公司 | A kind of user behavior analysis system and method |
| CN103034650B (en) * | 2011-09-29 | 2015-10-28 | 北京新媒传信科技有限公司 | A kind of data handling system and method |
| CN105007184A (en) * | 2015-07-22 | 2015-10-28 | 胡东雁 | Acquisition method for user behavior habits |
| CN105243087B (en) * | 2015-09-09 | 2018-08-31 | 浙江网新恒天软件有限公司 | IT syndication Personality of readingization recommends method |
| CN106332022A (en) * | 2016-08-23 | 2017-01-11 | 天津火炬鑫茂创业服务有限公司 | Short message information popularization system |
| CN109309875A (en) * | 2018-09-03 | 2019-02-05 | 四川长虹电器股份有限公司 | A method of showing user behavior characteristics model on smart television |
| CN109309875B (en) * | 2018-09-03 | 2020-12-15 | 四川长虹电器股份有限公司 | Method for displaying user behavior characteristic model on smart television |
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Open date: 20080430 |