CN106445929A - Activeness based user ranking method and system - Google Patents
Activeness based user ranking method and system Download PDFInfo
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- CN106445929A CN106445929A CN201510471023.5A CN201510471023A CN106445929A CN 106445929 A CN106445929 A CN 106445929A CN 201510471023 A CN201510471023 A CN 201510471023A CN 106445929 A CN106445929 A CN 106445929A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
Abstract
The invention discloses an activeness based user ranking method and system. The activeness based user ranking method includes the steps: a server establishes a group list for group users, wherein the group list includes name information of various users in a group; the server establishes an activeness analysis model, counts behavior parameters of the users in the group, and puts the behavior parameters into the activeness analysis model to calculate the activeness of each user, wherein the behavior parameters include initiate behavior parameters, participative behavior parameters, participated behavior parameters, interaction behavior parameters and/or rank changing parameters; the server writes the activeness of the users into the group list, and associates the name information and the activeness of the same user; and the server ranks user names in the group list according to the activeness, and displays the ranked group list.
Description
Technical field
The application is related to technical field of data processing, specifically, is related to a kind of user based on liveness
Sort method and system.
Background technology
Developing rapidly with network and information technology, new-type means of communication derived from Internet technology is being given birth to
Popularize on a large scale in work.Under this background, the social mode of people is also quietly changing.Existing
For people social activity for network service instrument dependence, more and more substantially.For example microblogging, wechat, QQ,
The network service instrument such as Facebook, is owned by very abundant social element.Led to by this kind of network
Letter instrument, it is possible to achieve make friends, chat, the diversified social functions such as Information Sharing.
Some social products, compare the type tending to community.This kind of social activity product can rely on certain literary composition
Change entertainment selection is carrier, attracts user to adhere to and set up community；User is made to carry out this entertainment selection
Other users at the same time it can also like with same interest are interactive, reach social purpose.As film, sound
The entertainment selections such as pleasure, reading or Karaoke, all can be used as the social carrier of community type.
In the social activity of community type, often all can gather various activities behavior in community for the user, with
It is analyzed as data, and then evaluate and test user gradation or ranking is carried out to user, to transfer user's community
The enthusiasm of activity and sense of participation, lift Consumer's Experience.Prior art exist defect be, for user
The mode of evaluation and test user gradation or ranking is more single, and for the angle of statistics, data analysiss are not abundant,
Experience still has greater room for improvement and is not fully excavated.
Content of the invention
In view of this, technical problems to be solved in this application there is provided a kind of user based on liveness
Sort method and system, the liveness of collection user simultaneously carries out sufficient data analysiss, and then user is entered
Row sequence, enables user to have more propertys of participation in Community, transfers the competitive spirit of user and amasss
Polarity, improves Consumer's Experience.
In order to solve above-mentioned technical problem, the application has following technical scheme：
A kind of user's sort method based on liveness, including：
Server sets up group-list for group user, and described group-list includes each user in group
Name information；
Server sets up liveness analysis model, and the behavioral parameters of user in group are counted；And will
Described behavioral parameters substitute into the liveness calculating each user in the middle of described liveness analysis model；
Described behavioral parameters include, initiate behavioral parameters, participative behavior parameter, by participative behavior parameter,
Mutual-action behavior parameter and/or rank change parameter；
Server is written to the liveness of described user in described group-list, and the name by same user
Title information and liveness are associated；
Server, in described group-list, is ranked up to described user's name according to described liveness, shows
Show the group-list after sequence.
Group-list after described display sequence also includes：
Liveness in described group-list is hidden.
When described behavioral parameters are to initiate behavioral parameters, then described statistics is carried out to behavioral parameters it be specially：
When user initiates group activity, then described initiation behavior is gathered as initiating described group activity
The initiation behavioral parameters of user.
When described behavioral parameters are mutual-action behavior parameter, then described statistics is carried out to behavioral parameters it be specially：
User is continuously logged in and gives the behavior of paying present, gather the mutual-action behavior parameter for user.
Methods described also includes：
The predetermined order cycle, according to the described sequence cycle, again according to described liveness to described user name
Title is ranked up；
When the user's name change making number one, then primary after broadcast change in described group
User's name；
And the user to ranking change sends prompting message.
A kind of user's ordering system based on liveness, including：
List block, for setting up group-list for group user, described group-list includes each in group
The name information of individual user；And the liveness by described user, it is written in described group-list, and will be with
The name information of one user and liveness are associated；
Model module, is used for setting up liveness analysis model, the behavioral parameters of user in group is united
Meter；And described behavioral parameters are substituted into the liveness calculating each user in the middle of described liveness analysis model；
Described behavioral parameters include, initiate behavioral parameters, participative behavior parameter, by participative behavior parameter, interaction
Behavioral parameters and/or rank change parameter；
Order module, for, in described group-list, carrying out to described user's name according to described liveness
Sequence；
Display module, for the group-list after display sequence.
Described display module is additionally operable to：
Liveness in described group-list is hidden.
When described behavioral parameters are to initiate behavioral parameters, then described statistics is carried out to behavioral parameters it be specially：
When user initiates group activity, then described initiation behavior is gathered as initiating described group activity
The initiation behavioral parameters of user.
When described behavioral parameters are mutual-action behavior parameter, then described statistics is carried out to behavioral parameters it be specially：
User is continuously logged in and gives the behavior of paying present, gather the mutual-action behavior parameter for user.
Described system also includes：
Cycle module, the predetermined order cycle, according to the described sequence cycle, again according to described liveness pair
Described user's name is ranked up；When the user's name change making number one, then wide in described group
Broadcast the primary user's name after change；And the user to ranking change sends prompting message.
Compared with prior art, method and system described herein, has reached following effect：
(1) it is used for calculating the behavioral parameters wide variety of liveness and concrete, so the system for data
Meter analysis is more abundant；
(2) show the result of described sequence, so that each user is recognized from the situation in group, carry
High Consumer's Experience；
(3) hide liveness concrete numerical value it is ensured that privacy of user, more excite the participation of user simultaneously
Enthusiasm.
Certainly, the arbitrary product implementing the application must be not necessarily required to reach all the above skill simultaneously
Art effect.
Brief description
Accompanying drawing described herein is used for providing further understanding of the present application, constitutes of the application
Point, the schematic description and description of the application is used for explaining the application, does not constitute to the application's
Improper restriction.In the accompanying drawings：
Fig. 1 is the embodiment of the present application methods described flow chart；
Fig. 2 is system structure diagram described in the embodiment of the present application.
Specific embodiment
To censure specific components as employed some vocabulary in the middle of description and claim.This area skill
Art personnel are it is to be appreciated that hardware manufacturer may call same assembly with different nouns.This explanation
Book and claim not in the way of the difference of title is used as distinguishing assembly, but with assembly in function
On difference be used as distinguish criterion.As mentioned " bag in the middle of description in the whole text and claim
Contain " it is an open language, therefore " comprise but be not limited to " should be construed to." substantially " refer to receivable
In range of error, those skilled in the art can solve described technical problem, base in the range of certain error
Originally reach described technique effect.Additionally, " coupling " word here comprises any directly and indirectly electrical coupling
Catcher section.Therefore, if a first device is coupled to a second device described in literary composition, represent described first
Device can directly be electrically coupled to described second device, or by other devices or to couple means indirectly electric
Property is coupled to described second device.Description subsequent descriptions are to implement the better embodiment of the application, so
Described description is for the purpose of the rule that the application is described, is not limited to scope of the present application.
The protection domain of the application ought be defined depending on the defined person of claims.
Specific embodiment for herein described user's sort method based on liveness shown in Figure 1.
Methods described liveness analysis model is analyzed to the behavioral parameters of user and obtains the liveness of user,
Thus being ranked up to user based on liveness.In the present embodiment, the method comprising the steps of：
Step 101, server set up group-list for group user.
In the middle of the present embodiment, by for some particular demographic under community class social activity scene.Using described
Group-list realizes statistics and management for each user in group.Described group-list also will be used as to user
Carry out the instrument of actual sequence.Described group-list includes the name information of each user in group, subsequently
Also corresponding for each user liveness can be written in described group-list.
Step 102, server set up liveness analysis model, and the behavioral parameters of user in group are carried out
Statistics；And substitute into described behavioral parameters in the middle of described liveness analysis model, calculate the active of each user
Degree.
The calculating analysis of liveness, by by way of modeling computing.In general, what liveness calculated
According to be exactly user in group activity and produce behavioral parameters.
In the middle of the such as group of the community type such as direct broadcasting room, mhkc or topic group, user can be carried out
Activity includes initiating/listen to live, posts, money order receipt to be signed and returned to the sender, interactive and supplement with money and open the differences such as authority between user
Activity.So described behavioral parameters can include, initiate behavioral parameters, participative behavior parameter, joined
With behavioral parameters, mutual-action behavior parameter and/or rank change parameter.
It should be noted that：
Described initiation behavioral parameters, specifically refer to initiate group activity (such as posting or initiate live) as user
When, then described initiation behavior is gathered the initiation behavioral parameters of the user for initiating described group activity.
Described participative behavior parameter, refers specifically to refer to when user participates in the group activity of initiation (as returned
Note or listen to live), then described participative behavior is gathered the participative behavior parameter for this participating user.
Described by participative behavior parameter, refer specifically to be when user participate in the group activity of initiation when, then will
Described participative behavior, gather for initiate described group activity user by participative behavior parameter.Mean
If user A take part in user B initiation group activity (user A to user's B money order receipt to be signed and returned to the sender, or
Listen to the live of user B), then the participative behavior of user A, using being joined by participative behavior as user B
Number.That is, certain user live broadcast amount of listening to of user is big, or by money order receipt to be signed and returned to the sender often, equally can increase
The liveness of this user long.
Described mutual-action behavior parameter, specifically refers to user continuously logs in and gives the behavior of paying present,
Gather the mutual-action behavior parameter for user.According to continuously logging in daily, gifts do and rise or fall
Status icons are pointed out.Do not reach the user of interactive enough quantity, can arrive and reduce corresponding liveness by the cycle.
Described rank change parameter, specifically refers to carry out leading to the behavior of rank change as user, then by institute
State the behavior leading to rank change, gather the rank change parameter for this user.Lead to the row of rank change
For can be continuously log in, accumulate integration or supplement with money the upgrading leading to or loss integration or
Supplement the degradation that amount expires and leads to money.
Above-mentioned various behavioral parameters, all can be substituted in the middle of described liveness analysis model, calculate
The liveness of each user.Described liveness, is a composite target weighing the above-mentioned many behaviors of user,
Embody behavior situation in group for the user.The concrete structure of described liveness analysis model and algorithm,
This does not limit.Every mathematical model that can play same or like effect, all can be in conjunction with this enforcement
Central.
In the present embodiment, for calculating the behavioral parameters wide variety of liveness and concrete, so for
The statistical analysiss of data are more abundant, and effect is even more ideal.
Step 103, server are written to the liveness of described user in described group-list, and will be with
The name information of one user and liveness are associated.
After being calculated liveness, described liveness is equally write in described group-list, and described
Liveness and user have corresponding relation.Then needing will be related with liveness for the name information of same user
Connection.
Step 104, server, in described group-list, enter to described user's name according to described liveness
Row sequence, the group-list after display sequence.
Due to described liveness, it is a composite target weighing the above-mentioned many behaviors of user, embodies and use
Behavior situation in group for the family, so ranking can be ranked up according to liveness to the user in group.
And then show described sequence result, make each user recognize from group situation it is also possible to
It is easy to the higher responsible consumer of liveness in user's concern group.
Also, it should be noted preferably it is also possible that the liveness stated in group-list is hidden in this step.
During display, namely only show name information and the ranking of user, but do not show each user
Liveness concrete numerical value.On the one hand ensure that the privacy of user, on the other hand prevent the evil between user
Meaning unrealistically compares the competitive spirit transferring user it is also possible to more positive, enables user in group more active.
Preferably, can also comprise the following steps in the present embodiment：
Step 105 (not shown), predetermined order cycle, according to described sequence cycle, root again
According to described liveness, described user's name is ranked up；When the user's name making number one changes, then
Primary user's name after broadcast change in described group；And carry to user's transmission of ranking change
Show message.
Periodically recalculate the liveness of user, and be again ranked up, ensure that user's ranking
Accuracy and real-time.And when the user ranking the first occurs change, then broadcast in described group
Primary user's name after change, so that all users learn in group, more can transfer user and strive
Take the enthusiasm of ranking.And for making user understand the ranking of itself, the present embodiment changes to ranking
User send prompting message.
As seen through the above technical solutions, the beneficial effect of this enforcement presence is：For calculating liveness
Behavioral parameters wide variety and concrete, so the statistical analysiss for data are more abundant；Display is described
The result of sequence, makes each user recognize from the situation in group, improves Consumer's Experience；Hidden
Hide liveness concrete numerical value it is ensured that privacy of user, more excite the participation enthusiasm of user simultaneously.
Shown in Figure 2, it is the structural representation of herein described system.In the present embodiment, described system
Unite and be used for realizing method described in embodiment illustrated in fig. 1, its technical characteristic is substantially implemented with shown in Fig. 1
Example is consistent, accordingly describes, be equally applicable in the middle of the present embodiment in embodiment illustrated in fig. 1.Described system
Specifically include：
List block 201, for setting up group-list for group user, described group-list includes group
In each user name information；And the liveness by described user, it is written in described group-list, and
The name information of same user and liveness are associated.
Model module 202, is used for setting up liveness analysis model, the behavioral parameters of user in group is entered
Row statistics；And described behavioral parameters are substituted into the work calculating each user in the middle of described liveness analysis model
Jerk.
Described behavioral parameters include, initiate behavioral parameters, participative behavior parameter, by participative behavior parameter,
Mutual-action behavior parameter and/or rank change parameter.
When described behavioral parameters are to initiate behavioral parameters, then described statistics is carried out to behavioral parameters it be specially：
When user initiates group activity, then described initiation behavior is gathered the user for initiating described group activity
Initiation behavioral parameters.
When described behavior participative behavior parameter or by participative behavior parameter, then described behavioral parameters are united
Meter is specially：When user participates in the group activity of initiation, then described participative behavior is gathered as this ginseng
Participative behavior parameter with user；Or, when user participates in the group activity of initiation, then will be described
Participative behavior, gather for initiate described group activity user by participative behavior parameter.
When described behavioral parameters are rank change parameter, then described statistics is carried out to behavioral parameters it be specially：
When user carries out leading to the behavior of rank change, then by the described behavior leading to rank change, gather as this
The rank change parameter of user.
When described behavioral parameters are mutual-action behavior parameter, then described statistics is carried out to behavioral parameters it be specially：
User is continuously logged in and gives the behavior of paying present, gather the mutual-action behavior parameter for user.
Order module 203, in described group-list, according to described liveness to described user's name
It is ranked up；
Display module 204, for the group-list after display sequence.Preferably described display module is additionally operable to,
Liveness in described group-list is hidden.
Preferably, described system also includes：
Cycle module 205 (not shown), the predetermined order cycle, according to described sequence cycle, weight
New root is ranked up to described user's name according to described liveness；When the user's name change making number one,
The then primary user's name after broadcast change in described group；And the user to ranking change sends
Prompting message.
As seen through the above technical solutions, the beneficial effect of this enforcement presence is：For calculating liveness
Behavioral parameters wide variety and concrete, so the statistical analysiss for data are more abundant；Display is described
The result of sequence, makes each user recognize from the situation in group, improves Consumer's Experience；Hidden
Hide liveness concrete numerical value it is ensured that privacy of user, more excite the participation enthusiasm of user simultaneously.
By various embodiments above, the beneficial effect that the application exists is：
(1) it is used for calculating the behavioral parameters wide variety of liveness and concrete, so the system for data
Meter analysis is more abundant；
(2) show the result of described sequence, so that each user is recognized from the situation in group, carry
High Consumer's Experience；
(3) hide liveness concrete numerical value it is ensured that privacy of user, more excite the participation of user simultaneously
Enthusiasm.
Those skilled in the art it should be appreciated that embodiments herein can be provided as method, device or
Computer program.Therefore, the application can using complete hardware embodiment, complete software embodiment,
Or combine the form of the embodiment of software and hardware aspect.And, the application can be using one or more
Wherein include computer-usable storage medium (the including but not limited to disk of computer usable program code
Memorizer, CD-ROM, optical memory etc.) the upper computer program implemented form.
Described above illustrate and describes some preferred embodiments of the application, but as previously mentioned it should manage
Solution the application is not limited to form disclosed herein, is not to be taken as the exclusion to other embodiment,
And can be used for various other combinations, modification and environment, and can in invention contemplated scope described herein,
It is modified by the technology or knowledge of above-mentioned teaching or association area.And those skilled in the art are carried out changes
Move and change is without departing from spirit and scope, then all should be in the protection of the application claims
In the range of.
Claims (10)
1. a kind of user's sort method based on liveness is it is characterised in that include：
Server sets up group-list for group user, and described group-list includes each user in group
Name information；
Server sets up liveness analysis model, and the behavioral parameters of user in group are counted；And will
Described behavioral parameters substitute into the liveness calculating each user in the middle of described liveness analysis model；
Described behavioral parameters include, initiate behavioral parameters, participative behavior parameter, by participative behavior parameter,
Mutual-action behavior parameter and/or rank change parameter；
Server is written to the liveness of described user in described group-list, and the name by same user
Title information and liveness are associated；
Server, in described group-list, is ranked up to described user's name according to described liveness, shows
Show the group-list after sequence.
2. according to claim 1 the user's sort method based on liveness it is characterised in that described
Group-list after display sequence also includes：
Liveness in described group-list is hidden.
3. the user's sort method based on liveness according to claim 1 or claim 2 it is characterised in that
When described behavioral parameters are to initiate behavioral parameters, then described statistics is carried out to behavioral parameters it be specially：
When user initiates group activity, then described initiation behavior is gathered as initiating described group activity
The initiation behavioral parameters of user.
4. the user's sort method based on liveness according to claim 1 or claim 2 it is characterised in that
When described behavioral parameters are mutual-action behavior parameter, then described statistics is carried out to behavioral parameters it be specially：
User is continuously logged in and gives the behavior of paying present, gather the mutual-action behavior parameter for user.
5. the user's sort method based on liveness according to claim 1 or claim 2 it is characterised in that
Methods described also includes：
The predetermined order cycle, according to the described sequence cycle, again according to described liveness to described user name
Title is ranked up；
When the user's name change making number one, then primary after broadcast change in described group
User's name；
And the user to ranking change sends prompting message.
6. a kind of user's ordering system based on liveness is it is characterised in that include：
List block, for setting up group-list for group user, described group-list includes each in group
The name information of individual user；And the liveness by described user, it is written in described group-list, and will be with
The name information of one user and liveness are associated；
Model module, is used for setting up liveness analysis model, the behavioral parameters of user in group is united
Meter；And described behavioral parameters are substituted into the liveness calculating each user in the middle of described liveness analysis model；
Described behavioral parameters include, initiate behavioral parameters, participative behavior parameter, by participative behavior parameter, interaction
Behavioral parameters and/or rank change parameter；
Order module, for, in described group-list, carrying out to described user's name according to described liveness
Sequence；
Display module, for the group-list after display sequence.
7. according to claim 6 the user's ordering system based on liveness it is characterised in that described
Display module is additionally operable to：
Liveness in described group-list is hidden.
8. according to claim 6 or 7 the user's ordering system based on liveness it is characterised in that
When described behavioral parameters are to initiate behavioral parameters, then described statistics is carried out to behavioral parameters it be specially：
When user initiates group activity, then described initiation behavior is gathered as initiating described group activity
The initiation behavioral parameters of user.
9. according to claim 6 or 7 the user's ordering system based on liveness it is characterised in that
When described behavioral parameters are mutual-action behavior parameter, then described statistics is carried out to behavioral parameters it be specially：
User is continuously logged in and gives the behavior of paying present, gather the mutual-action behavior parameter for user.
10. according to claim 6 or 7 the user's ordering system based on liveness it is characterised in that
Described system also includes：
Cycle module, the predetermined order cycle, according to the described sequence cycle, again according to described liveness pair
Described user's name is ranked up；When the user's name change making number one, then wide in described group
Broadcast the primary user's name after change；And the user to ranking change sends prompting message.
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| CN106933995A (en) * | 2017-02-28 | 2017-07-07 | 张凯 | A kind of public activity ranking screening and sequencing system and its implementation |
| CN106980703A (en) * | 2017-05-09 | 2017-07-25 | 北京三快在线科技有限公司 | For the method and device of group's search, electronic equipment, computer-readable medium |
| CN107247586A (en) * | 2017-05-25 | 2017-10-13 | 北京潘达互娱科技有限公司 | Show the method and device of direct broadcasting room user profile |
| CN107426621A (en) * | 2017-03-31 | 2017-12-01 | 武汉斗鱼网络科技有限公司 | A kind of method and system in mobile terminal direct broadcasting room displaying any active ues image |
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| CN109547807A (en) * | 2018-11-15 | 2019-03-29 | 腾讯科技（深圳）有限公司 | A kind of information processing method based on live streaming, device and server |
| CN109756771A (en) * | 2019-01-08 | 2019-05-14 | 北京潘达互娱科技有限公司 | A kind of user's sort method, calculates equipment and storage medium at device |
| CN109961202A (en) * | 2017-12-26 | 2019-07-02 | 杭州海康威视系统技术有限公司 | A kind of information processing method and its device |
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| CN110139120A (en) * | 2019-05-20 | 2019-08-16 | 北京字节跳动网络技术有限公司 | Information display method, device, electronic equipment and computer readable storage medium |
| CN111162923A (en) * | 2019-12-31 | 2020-05-15 | 广州市百果园信息技术有限公司 | Ranking method, device, equipment and storage medium of instant messaging group |
| CN112765364A (en) * | 2021-01-19 | 2021-05-07 | 上海明略人工智能(集团)有限公司 | Group chat session ordering method and device, storage medium and electronic equipment |
| CN113077194A (en) * | 2021-06-04 | 2021-07-06 | 北京明略昭辉科技有限公司 | Method and device for generating activity ranks |
| CN113300935A (en) * | 2020-09-15 | 2021-08-24 | 阿里巴巴集团控股有限公司 | Group processing method, terminal device, server device and storage medium |
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