CN101867581B - A kind of device and method of pushing fresh news - Google Patents
A kind of device and method of pushing fresh news Download PDFInfo
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- CN101867581B CN101867581B CN201010197172.4A CN201010197172A CN101867581B CN 101867581 B CN101867581 B CN 101867581B CN 201010197172 A CN201010197172 A CN 201010197172A CN 101867581 B CN101867581 B CN 101867581B
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Abstract
The invention discloses the device that a kind of strange thing Feed pushes, comprising: display module, for Feed is shown to user; Policy generation module, for arranging according to user and the tactful bivariate table of user behavior data generation propelling movement; Processing module, is arranged for the propelling movement strategy bivariate table in fetch policy generation module and user, arranges and filters Feed, marks and sort, then Feed is sent to display module according to the tactful bivariate table of propelling movement and user.The invention also discloses a kind of method that Feed pushes, adopt device and method of the present invention, realize Feed targetedly and push, improve the efficiency of user's obtaining information, enhance the communication between user and good friend.
Description
Technical field
The present invention relates to social network services (SNS) field, refer to the device and method that a kind of strange thing (Feed) pushes especially.
Background technology
SNS is a technology application architecture under Web2.0 system, is intended to help people to set up social internet, applications service, and the website set up based on SNS thought is exactly social network sites.Domestic consumer enjoys social interaction server mainly through logging in social network sites.It is one of base application of social network sites that Feed pushes, and refers to the Feed of user good friend to be shown to user.Feed's is in extensive range, can comprise the various actions of user good friend, such as, write daily record, upload pictures, change state, make comments and employ certain application etc.
The senior user of a popular social network sites generally has dozens or even hundreds of good friend, existing Feed supplying system and method only provide the service of propelling movement, and for the source pushed and content, only carry out simple blacklist filtration, described blacklist is buddy list, describedly be filtered into according to the buddy list in blacklist, the Feed that good friend in list produces all is deleted.It is very limited that this processing mode can be supplied to the personal settings that user carries out, processing mode is underaction also, the relation that the distance of user and good friend is close and distant cannot be embodied, the specific aim pushed is poor, cause sizable junk information, make user's obtaining information and the efficiency comparison of linking up with good friend low.
Summary of the invention
In view of this, main purpose of the present invention is the device and method providing a kind of Feed to push, and adopts this device and method, improves the efficiency of user's obtaining information, enhances the communication between user and good friend.
For achieving the above object, technical scheme of the present invention is achieved in that
The invention provides the device that a kind of strange thing Feed pushes, comprise, display module, for Feed is shown to user; This device also comprises:
Policy generation module, pushes tactful bivariate table for generating according to user's setting, user behavior data and user's buddy list and preserves;
Processing module, is arranged for the propelling movement strategy bivariate table in fetch policy generation module and user, arranges and filters Feed, marks and sort, then Feed is sent to display module according to the tactful bivariate table of propelling movement and user.
In such scheme, described policy generation module specifically comprises: user's setting unit, for arranging white list, user behavior data analysis time is set, described user behavior data comprises the time span of user behavior data sampling analysis time, the renewal frequency of sample frequency and analytical sampling data; Behavioural analysis unit, for reading the user behavior data analysis time in user's setting unit, from user behavior data storehouse, user behavior data and user's buddy list is read according to sample frequency, according to renewal frequency, analysis generation strategy table is carried out to user behavior data, sends to policy data merge cells; Policy data merge cells, for reading the white list in user's setting unit, the Policy Table sent with behavioural analysis unit merges, and generates and pushes tactful bivariate table and send to optimisation strategy memory cell; Optimisation strategy memory cell, pushes tactful bivariate table for preserving.
In such scheme, behavioural analysis unit specifically for, according to the object of the user behavior each time recorded in user behavior data, user behavior, in conjunction with user's buddy list, add up the number of times of the user behavior relevant to good friend, according to number of times is how many, good friend is sorted, generate good friend's temperature seniority among brothers and sisters table; According to the user behavior each time of user behavior data record, the number of times of counting user behavior, in conjunction with the Feed type that user pays close attention to, sorts to the Feed type that user pays close attention to, and generates user and pays close attention to Feed type seniority among brothers and sisters table.
In such scheme, policy data merge cells specifically for, based on behavioural analysis unit send Policy Table, according to the good friend in white list or Feed type, to propelling movement tactful bivariate table adjust.
In such scheme, described processing module specifically comprises: filter element, for reading the Feed of user good friend and the information of correspondence in server, read the blacklist in user's setting unit, according to blacklist, Feed is filtered, the information of the Feed after filtration and correspondence thereof is sent to scoring unit; Scoring unit, for reading the propelling movement strategy bivariate table in optimisation strategy memory cell, marking to the Feed received according to pushing tactful bivariate table, the information of the Feed after scoring and correspondence thereof is sent to sequencing unit; Sequencing unit, is arranged according to the display number that display mode is arranged and Feed pushes that the Feed read in user's setting unit pushes, and sorts, the Feed after sequence is sent to display module according to display mode and display number to the Feed after scoring; Accordingly, policy generation module, for arranging blacklist, arranging the display mode that Feed pushes, arranging the display number that Feed pushes.
In such scheme, user's setting unit is further used for, and arranges whether forbid blacklist; Accordingly, filter element, arranges for the forbidding blacklist reading user's setting unit, determines that blacklist is forbidden, do not filter Feed, directly send to scoring unit.
Present invention also offers a kind of method that Feed pushes, comprising:
Generate according to user's setting, user behavior data and user's buddy list and push tactful bivariate table and preserve, filter according to the Feed that the tactful bivariate table of propelling movement and user are arranged obtaining, mark, sort, and be shown to user.
In such scheme, describedly to arrange according to user, user behavior data and user's buddy list generate and push tactful bivariate table and comprise: white list is set by policy generation module, user behavior data analysis time is set, according to the sample frequency in user behavior data analysis time, user behavior data and user's buddy list is read from user behavior data storehouse, according to the renewal frequency in user behavior data analysis time, analysis generation strategy table is carried out to user behavior data, Policy Table and white list are merged to generate pushes tactful bivariate table.
In such scheme, describedly user behavior data is carried out analyzing generation strategy table comprise: policy generation module is according to the object of the user behavior each time recorded in user behavior data, user behavior, in conjunction with user's buddy list, add up the number of times of the user behavior relevant to good friend, according to number of times, sequence is carried out to good friend and generate good friend's temperature seniority among brothers and sisters table; According to the user behavior each time of user behavior data record, counting user behavior number of times, in conjunction with the Feed type that user pays close attention to, sorts to the Feed type that user pays close attention to, and generates user and pays close attention to Feed type seniority among brothers and sisters table.
In such scheme, described Policy Table and white list are merged generate push tactful bivariate table and comprise: based on Policy Table, according to the good friend in white list or Feed type, the tactful bivariate table of propelling movement is adjusted.
In such scheme, the described Feed arranged obtaining according to the tactful bivariate table of propelling movement and user filters, scoring, sequence comprises: policy generation module arranges blacklist, the display mode that Feed pushes is set, the display number that Feed pushes is set, processing module reads the Feed of user good friend and the information of correspondence in server, the blacklist that fetch policy generation module is arranged, according to blacklist, Feed is filtered, the propelling movement strategy bivariate table that fetch policy generation module generates, according to pushing tactful bivariate table, the Feed after filtration is marked, the display mode that the Feed that processing module fetch policy generation module is arranged pushes and the display number that Feed pushes, Feed after scoring is sorted according to display mode and display number, Feed after sequence is shown to user.
In such scheme: policy generation module selects whether forbid blacklist function, and determine that blacklist function is forbidden, then processing module is not filtered Feed.
As can be seen here, adopt the device and method described in technical solution of the present invention, arrange according to user and the tactful bivariate table of user behavior data generation propelling movement, wherein, user can be arranged as required flexibly, the content that user behavior data is paid close attention to by user good friend temperature and user is determined, embodies the personalization of user and the relation between user and good friend; Processing module is filtered Feed according to the tactful bivariate table of propelling movement, mark and is sorted, and by the garbage information filtering had nothing to do with user, realizes Feed targetedly and pushes, improve the efficiency of user's obtaining information, enhance the communication between user and good friend.
Further, the user behavior analysis time that policy generation module is arranged according to user at set intervals, periodically obtains user behavior data, and upgrade and push tactful bivariate table, processing mode is more flexible.
Accompanying drawing explanation
Fig. 1 is the device composition schematic diagram that the embodiment of the present invention realizes Feed propelling movement;
Fig. 2 is the method flow schematic diagram that the embodiment of the present invention realizes Feed propelling movement.
Embodiment
The basic thought of the embodiment of the present invention is: policy generation module generates according to user's setting, user behavior data and user's buddy list and pushes tactful bivariate table and preserve, the propelling movement strategy bivariate table of processing module fetch policy generation module and user are arranged, and arrange filter, mark and sort the Feed of the user good friend read from server and be shown to user by display module according to the tactful bivariate table of propelling movement and user;
Described user behavior comprises user's message, user browses the content such as the content such as photo, daily record and user's share photos, daily record; Described user behavior data comprises the object of user behavior, user behavior; Described user arranges and comprises white list, blacklist; Described white list is the Feed type paid close attention to of user or good friend; Described blacklist is the Feed type that shields of user or good friend.
Below by the drawings and specific embodiments, the present invention is described in detail, as shown in Figure 1:
The device that Feed pushes, this device comprises: policy generation module 101, processing module 102, display module 103;
Policy generation module 101, pushes tactful bivariate table for generating according to user's setting, user behavior data and user's buddy list and preserves;
Processing module 102, the propelling movement strategy bivariate table preserved for fetch policy generation module 101 and user are arranged, arrange according to the tactful bivariate table of propelling movement and user and the Feed of the user good friend read from server is filtered, marks and sorted, and Feed is sent to display module;
Display module 103, for being shown to user by Feed.
Policy generation module 101 specifically comprises: user's setting unit 1011, behavioural analysis unit 1012, policy data merge cells 1013 and optimisation strategy memory cell 1014;
User's setting unit 1011, for arranging white list, blacklist is set, user behavior data analysis time is set, described user behavior data comprises the renewal frequency etc. of time span, sample frequency and the analytical sampling data that user behavior data is sampled analysis time, wherein, the time span of described sampling refers to the time period of sampling; Described sample frequency is often sampled to user data at regular intervals for arranging in sampling time span; The renewal frequency of described analytical sampling data and sampling analysis cycle, refer to every at regular intervals to the data analysis of sampling in sampling time span; Such as, suppose that the sampling time span that user is arranged is 1 month, sample frequency is that sampling should be carried out weekly, so within 1 month, can sample 4 times, renewal frequency is for upgrade weekly, and the data analyzed when so at every turn upgrading are the data of 4 samplings nearest apart from this analysis time;
Behavioural analysis unit 1012, for reading the user behavior data analysis time in user's setting unit 1011, according to the sample frequency arranged, user behavior data and user's buddy list is read from user behavior data storehouse, according to the renewal frequency arranged, carry out analysis generation strategy table to user behavior data, namely good friend's temperature seniority among brothers and sisters table and user pay close attention to Feed type seniority among brothers and sisters table and send to policy data merge cells 1013; Described user behavior data storehouse comprise store user's message database, store user and share the database of the content such as daily record, photo and store the database of the contents such as user travel log, photo;
Policy data merge cells 1013, for reading the white list that user's setting unit 1011 is arranged, the Policy Table sent with behavioural analysis unit 1012 merges, generate and push tactful bivariate table, one of them dimension is the sequence of good friend's temperature, dimension pays close attention to Feed byte orderings for user, sends to optimisation strategy memory cell 1014 to preserve tactful for propelling movement bivariate table; The Policy Table that described merging generates based on behavioural analysis unit 1012, according to the good friend in white list in user's setting unit 1011 or Feed type, carries out suitable adjustment to the sequence pushing tactful bivariate table; Such as, if it is lower to push a certain Feed type seniority among brothers and sisters that is lower or user's concern of a certain good friend's temperature seniority among brothers and sisters in tactful bivariate table, but this good friend or this Feed type are arranged in white list, so, by this good friend or the certain precedence of this Feed Type Lifting, the precedence of described lifting is by artificially setting.
Optimisation strategy memory cell 1014, pushes tactful bivariate table for storing; Because the analysis result of user behavior data and user arrange relatively stable within a certain period of time, therefore push tactful bivariate table and to a great extent there is reusability, store to push when tactful bivariate table is avoided pushing at every turn and all will reanalyse, save system resource.
Behavioural analysis unit 1012 specifically for, according to the object of the user behavior each time recorded in user behavior data, user behavior, in conjunction with user's buddy list, add up the number of times of the user behavior relevant to good friend, according to number of times is how many, good friend is sorted, generate good friend's temperature seniority among brothers and sisters table; According to the user behavior each time of user behavior data record, the number of times of counting user behavior, according to the Feed type how many number of times is paid close attention in conjunction with user, the Feed type that user pays close attention to is sorted, generate user and pay close attention to Feed type seniority among brothers and sisters table, the Feed type that described user pays close attention to comprises daily record, photograph album, video etc.
User's setting unit 1011 is further used for, and arranges and opens or the behavior of closedown analytic unit 1012; Arrange and open or close this Feed pusher;
Accordingly, server, arranges for the user regularly read in user's setting unit 1011, arranges enable or prohibitive behavior analytic unit 1012 according to user; This device of choice for use is set according to user or device of the prior art carries out Feed propelling movement; The described regular time interval can be arranged by user.
Processing module 102 specifically comprises: filter element 1021, scoring unit 1022 and sequencing unit 1023;
Filter element 1021, for reading the Feed of user good friend in server and the information of correspondence thereof, the information of described correspondence comprises the time of Feed issue, read the blacklist of user's setting unit 1011 setting and whether forbid blacklist option, if user enables blacklist, then filter according to the information of blacklist to Feed and correspondence thereof, the information of the Feed after filtration and correspondence thereof is sent to scoring unit 1022, described filtration refers to the Feed conformed to blacklist to delete, or is deleted by all Feed of the good friend conformed to buddy list in blacklist; If user select forbid blacklist, then direct the Feed of user good friend of reading and the information of correspondence thereof are sent to scoring unit 1022;
Scoring unit 1022, for reading the propelling movement strategy bivariate table in optimisation strategy memory cell 1014, according to pushing tactful bivariate table, the Feed received is marked, in the tactful bivariate table of propelling movement, more have higher scoring close to the Feed of initial point, described initial point is push the highest intersection point of tactful bivariate table two dimension sequence precedences; The information of Feed and correspondence thereof and corresponding scoring are sent to sequencing unit 1023;
Sequencing unit 1023, for reading user in user's setting unit 1011, the display mode of Feed propelling movement and the display number of Feed propelling movement are set, sort according to display number and display mode to the Feed after scoring, described display mode comprises according to the display of scoring height or shows according to time sequencing; Feed sends to display module; Described Feed after scoring is carried out sequence according to display number and time sequencing and comprised: according to the scoring of the Feed received, choose the Feed meeting display number from high to low, then according to the time in information corresponding to Feed, according to the sequencing of time, Feed is sorted; Described Feed after scoring is carried out sequence comprised according to display number and scoring order: according to the scoring of the Feed received, sort from high to low, choose the Feed meeting display number according to sequence from high to low;
Accordingly, user's setting unit 1011 is further used for, and arranges the display number that Feed pushes; The display mode that Feed pushes is set;
Display module, for being shown to user by Feed list.
Present invention also offers a kind of method that Feed pushes, as shown in Figure 2, concrete steps are as follows:
Step 201, arrange according to user, user behavior data and user's buddy list generation strategy tables of data, described policy data table comprises good friend's temperature seniority among brothers and sisters table, user pays close attention to Feed type seniority among brothers and sisters table;
User carries out personalization attributes setting by user's setting unit, comprising: arrange user behavior data analysis time, arrange white list, arrange blacklist, arrange display number that Feed pushes, arrange the display mode that Feed pushes; Described user behavior data comprises the time span arranging user behavior data sampling, the renewal frequency etc. of sample frequency and analytical sampling data analysis time, and wherein, described sampling time span refers to the time span of sampling; Described sample frequency is often sampled to user data at regular intervals for arranging in sampling time span; The renewal frequency of described analytical sampling data, refer to often analyze the sampled data in sampling time span at regular intervals, such as, suppose that the sampling time span that user is arranged is 1 month, sample frequency is that sampling should be carried out weekly, so within 1 month, can sample 4 times, renewal frequency is for upgrade weekly, and the data analyzed when so at every turn upgrading are the data of 4 samplings nearest apart from this analysis time; User filters according to blacklist the Feed that user will shield by selecting to open blacklist filtering function; The display number that described Feed pushes refers to the quantity of the Feed that will be shown to user; The display mode that described Feed pushes refers to the time sequencing display Feed that user can select to deliver according to Feed or shows Feed according to the scoring of Feed.
Behavioural analysis unit reads the user behavior data analysis time in user's setting unit, according to the sample frequency in user behavior data analysis time, user behavior data and user's buddy list is obtained at regular intervals from user behavior data storehouse, at regular intervals user behavior data is analyzed according to renewal frequency, generation strategy table, namely good friend's temperature seniority among brothers and sisters table and user pay close attention to Feed type seniority among brothers and sisters table, described user behavior data storehouse comprises the database storing user's message, store user and share daily record, the database of the contents such as photo and storage user travel log, the database of the contents such as photo, described analysis is specially: behavioural analysis unit is according to the object of the user behavior each time recorded in user behavior data, user behavior, in conjunction with user's buddy list, add up the number of times of the user behavior relevant to good friend, according to number of times is how many, good friend is sorted, generate good friend's temperature seniority among brothers and sisters table, behavioural analysis unit is according to the user behavior each time of user behavior data record, the number of times of counting user behavior, according to the Feed type how many number of times is paid close attention in conjunction with user, the Feed type that user pays close attention to is sorted, generate user and pay close attention to Feed type seniority among brothers and sisters table, the Feed type that described user pays close attention to comprises daily record, photograph album, video etc.
Step 202, the white list that policy data table and user are arranged to be merged, generate and push tactful bivariate table;
Policy data merge cells reads the white list that user's setting unit is arranged, the Policy Table sent with behavioural analysis unit merges, generate and push tactful bivariate table, a dimension is good friend's temperature seniority among brothers and sisters, a dimension is that user pays close attention to Feed type seniority among brothers and sisters, sends to optimisation strategy memory cell to preserve tactful for propelling movement bivariate table; The Policy Table that described merging generates based on behavioural analysis unit, according to the good friend in white list in user's setting unit or Feed type, carries out suitable adjustment to sequence; Such as, if it is lower to push a certain Feed type seniority among brothers and sisters that is lower or user's concern of a certain good friend's temperature seniority among brothers and sisters in tactful bivariate table, but this good friend or this Feed type are arranged in white list, so, by this good friend or the certain precedence of this Feed Type Lifting, the precedence of described lifting is by artificially setting.
Step 203, to arrange according to propelling movement tactful bivariate table and user and the Feed received is filtered, marks and sorted, the Feed after sorting is shown to user.
Filter element reads the Feed of user good friend and the information of correspondence thereof in server, described information comprises the issuing time of Feed, filter element reads the blacklist in user's setting unit, according to blacklist, Feed is filtered, the Feed met with blacklist is deleted, or all Feed of the good friend conformed to buddy list in blacklist are deleted; The information of the Feed after filtration and correspondence thereof is sent to scoring unit, if user's setting unit selects forbidding blacklist, then the information of Feed and correspondence thereof is directly sent to scoring unit by filter element.Scoring unit receives the information of Feed and correspondence thereof, read from Policy storage unit and push tactful bivariate table, according to propelling movement tactful bivariate table, Feed is marked, in the tactful bivariate table of propelling movement, more have higher scoring close to the Feed of initial point, described initial point is push the highest intersection point of tactful bivariate table two dimension sequence precedences; Feed after scoring and the information of correspondence thereof are sent to sequencing unit, and sort the display mode and display number selected according to user, sorts, the Feed after sequence is sent to display module, is shown to user by display module Feed.If user selects to sort according to time sequencing, according to the scoring of Feed received, choose the Feed meeting display number from high to low, then according to the time in information corresponding to Feed, according to time sequencing, Feed is sorted; If user selects according to marking and queuing, the scoring according to Feed is sorted to Feed, chooses the Feed meeting the display number that user is arranged according to scoring order.
Further, user arranges whether enable above-mentioned Feed method for pushing by user's setting unit, server reads the setting of user's setting unit at regular intervals, if user selects to forbid this Feed method for pushing, then server selects propelling movement of the prior art to carry out Feed propelling movement; If user selects to enable this Feed method for pushing, then server selects method of the present invention to carry out Feed propelling movement.
The above, be only preferred embodiment of the present invention, be not intended to limit protection scope of the present invention, and all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. a device for strange thing Feed propelling movement, comprises, display module, for Feed is shown to user; It is characterized in that, this device also comprises:
Policy generation module, pushes tactful bivariate table for generating according to user's setting, user behavior data and user's buddy list and preserves;
Processing module, is arranged for the propelling movement strategy bivariate table in fetch policy generation module and user, arranges and filters Feed, marks and sort, then Feed is sent to display module according to the tactful bivariate table of propelling movement and user;
Wherein, described policy generation module comprises according to user's setting, user behavior data and the tactful bivariate table of user's buddy list generation propelling movement:
Described policy generation module arranges white list, arrange user behavior data analysis time, according to the sample frequency in user behavior data analysis time, user behavior data and user's buddy list is read from user behavior data storehouse, according to the renewal frequency in user behavior data analysis time, analysis generation strategy table is carried out to user behavior data, Policy Table and white list are merged to generate pushes tactful bivariate table; Wherein,
Described policy generation module carries out analysis generation strategy table to user behavior data, be specially: policy generation module is according to the object of the user behavior each time recorded in user behavior data, user behavior, in conjunction with user's buddy list, add up the number of times of the user behavior relevant to good friend, according to number of times is how many, good friend is sorted, generate good friend's temperature seniority among brothers and sisters table; According to the user behavior each time of user behavior data record, the number of times of counting user behavior, in conjunction with the Feed type that user pays close attention to, sorts to the Feed type that user pays close attention to, and generates user and pays close attention to Feed type seniority among brothers and sisters table.
2. device according to claim 1, is characterized in that, described policy generation module specifically comprises:
User's setting unit, for arranging white list, arrange user behavior data analysis time, described user behavior data comprises the time span of user behavior data sampling analysis time, the renewal frequency of sample frequency and analytical sampling data;
Behavioural analysis unit, for reading the user behavior data analysis time in user's setting unit, from user behavior data storehouse, user behavior data and user's buddy list is read according to sample frequency, according to renewal frequency, analysis generation strategy table is carried out to user behavior data, sends to policy data merge cells;
Policy data merge cells, for reading the white list in user's setting unit, the Policy Table sent with behavioural analysis unit merges, and generates and pushes tactful bivariate table and send to optimisation strategy memory cell;
Optimisation strategy memory cell, pushes tactful bivariate table for preserving.
3. device according to claim 2, is characterized in that,
Behavioural analysis unit specifically for, according to the object of the user behavior each time recorded in user behavior data, user behavior, in conjunction with user's buddy list, add up the number of times of the user behavior relevant to good friend, according to number of times is how many, good friend is sorted, generate good friend's temperature seniority among brothers and sisters table; According to the user behavior each time of user behavior data record, the number of times of counting user behavior, in conjunction with the Feed type that user pays close attention to, sorts to the Feed type that user pays close attention to, and generates user and pays close attention to Feed type seniority among brothers and sisters table.
4. device according to claim 2, is characterized in that,
Policy data merge cells specifically for, based on behavioural analysis unit send Policy Table, according to the good friend in white list or Feed type, to propelling movement tactful bivariate table adjust.
5., according to the arbitrary described device of Claims 1-4, it is characterized in that, described processing module specifically comprises:
Filter element, for reading the Feed of user good friend and the information of correspondence in server, reading the blacklist in user's setting unit, filtering according to blacklist to Feed, and the information of the Feed after filtration and correspondence thereof is sent to scoring unit;
Scoring unit, for reading the propelling movement strategy bivariate table in optimisation strategy memory cell, marking to the Feed received according to pushing tactful bivariate table, the information of the Feed after scoring and correspondence thereof is sent to sequencing unit;
Sequencing unit, is arranged according to the display number that display mode is arranged and Feed pushes that the Feed read in user's setting unit pushes, and sorts, the Feed after sequence is sent to display module according to display mode and display number to the Feed after scoring;
Accordingly, policy generation module, for arranging blacklist, arranging the display mode that Feed pushes, arranging the display number that Feed pushes.
6. device according to claim 5, is characterized in that,
User's setting unit is further used for, and arranges whether forbid blacklist;
Accordingly, filter element, arranges for the forbidding blacklist reading user's setting unit, determines that blacklist is forbidden, do not filter Feed, directly send to scoring unit.
7. a method for Feed propelling movement, it is characterized in that, the method comprises:
Generate according to user's setting, user behavior data and user's buddy list and push tactful bivariate table and preserve, filter according to the Feed that the tactful bivariate table of propelling movement and user are arranged obtaining, mark, sort, and be shown to user;
Wherein, describedly to arrange according to user, user behavior data and user's buddy list generate and push tactful bivariate table and comprise:
White list is set by policy generation module, user behavior data analysis time is set, according to the sample frequency in user behavior data analysis time, user behavior data and user's buddy list is read from user behavior data storehouse, according to the renewal frequency in user behavior data analysis time, analysis generation strategy table is carried out to user behavior data, Policy Table and white list are merged to generate pushes tactful bivariate table;
Describedly analysis generation strategy table carried out to user behavior data comprise:
Policy generation module, according to the object of the user behavior each time recorded in user behavior data, user behavior, in conjunction with user's buddy list, adds up the number of times of the user behavior relevant to good friend, carries out sequence generate good friend's temperature seniority among brothers and sisters table according to number of times to good friend; According to the user behavior each time of user behavior data record, counting user behavior number of times, in conjunction with the Feed type that user pays close attention to, sorts to the Feed type that user pays close attention to, and generates user and pays close attention to Feed type seniority among brothers and sisters table.
8. method according to claim 7, is characterized in that, described Policy Table and white list are merged generate push tactful bivariate table and comprise:
Based on Policy Table, according to the good friend in white list or Feed type, the tactful bivariate table of propelling movement is adjusted.
9. the method according to claim 7 or 8, is characterized in that, described according to push tactful bivariate table and user arrange the Feed obtained filtered, mark, sorting comprises:
Policy generation module arranges blacklist, the display mode that Feed pushes is set, the display number that Feed pushes is set, processing module reads the Feed of user good friend and the information of correspondence in server, the blacklist that fetch policy generation module is arranged, according to blacklist, Feed is filtered, the propelling movement strategy bivariate table that fetch policy generation module generates, according to pushing tactful bivariate table, the Feed after filtration is marked, the display mode that the Feed that processing module fetch policy generation module is arranged pushes and the display number that Feed pushes, Feed after scoring is sorted according to display mode and display number, Feed after sequence is shown to user.
10. method according to claim 7, is characterized in that, the method comprises further:
Policy generation module selects whether forbid blacklist function, and determine that blacklist function is forbidden, then processing module is not filtered Feed.
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| CN103186635A (en) * | 2011-12-31 | 2013-07-03 | 腾讯科技（深圳）有限公司 | Method, device and system for pushing virtual gifts recommendation list |
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| CN104700040B (en) * | 2013-12-10 | 2021-08-03 | 腾讯科技（深圳）有限公司 | Authority control method and device |
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| CN104932920B (en) * | 2015-06-16 | 2018-02-23 | 广东欧珀移动通信有限公司 | The browse path bootstrap technique and device of a kind of application program |
| CN105528408B (en) * | 2015-12-03 | 2019-03-12 | 百度在线网络技术（北京）有限公司 | Page display method and device |
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| CN107273521B (en) * | 2017-06-22 | 2020-10-09 | 百度在线网络技术（北京）有限公司 | Feed content quality evaluation method and device |
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| JP2002230411A (en) * | 2001-02-05 | 2002-08-16 | Isao:Kk | Communication system, communication information processor, information terminal equipment article- recommending method, and program |
| KR20080085142A (en) * | 2005-12-19 | 2008-09-23 | 스트랜즈, 아이엔씨. | User-to-user recommender |
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