CN106339489A - Evaluation algorithm for cartoon IP user preference degree - Google Patents
Evaluation algorithm for cartoon IP user preference degree Download PDFInfo
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- CN106339489A CN106339489A CN201610785818.8A CN201610785818A CN106339489A CN 106339489 A CN106339489 A CN 106339489A CN 201610785818 A CN201610785818 A CN 201610785818A CN 106339489 A CN106339489 A CN 106339489A
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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
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/73—Querying
- G06F16/735—Filtering based on additional data, e.g. user or group profiles
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Abstract
The invention provides an evaluation algorithm for cartoon IP user preference degree. The evaluation algorithm comprises the following steps: collecting user behavior data and cartoon video data; and substituting the user behavior data and the cartoon video data into a cartoon video grading formula for computing so as to obtain a user preference degree evaluation value; and recommending corresponding cartoon videos to a user according to the user preference degree evaluation value. The method can help cartoon video manufacturers and cartoon video distributors to evaluate the effect of a video which is being played and generalized, so that the capacity of attracting the user of the cartoon video and the capacity of user constant attention can be comprehensively evaluated, and the design effect of a video product and the capacity of subsequent constant attention can be judged.
Description
Technical field
The present invention relates to animation technical field, particularly to a kind of animation ip user preferences degree assessment algorithm.
Background technology
Existing market is directed to animation assessment and has temporarily still lacked, and a lot of enterprises are simply by the sight of internal evaluation personnel
See and assess as a benchmark, and animation video is less than normal for customer group major part, the overall sense organ of infant
The difference also very big with cognition and adult, so the present invention mainly aims at lift pins and animation image video evaluations system is calculated
Method.
Content of the invention
The purpose of the present invention is intended at least solve one of described technological deficiency.
For this reason, it is an object of the invention to proposing a kind of animation ip user preferences degree assessment algorithm, can be according to equal bar
Part user's selection rate, user persistently watch behavior to assess user preferences degree and user's persistence of animation ip video, gather institute
There is the assessment of data, user preferences degree assessment is carried out to animation ip video, thus being conducive to excavating new outstanding animation cartoon
Content.
To achieve these goals, the present invention provides a kind of animation ip user preferences degree assessment algorithm, comprises the following steps:
Step s1, collection user behavior data and animation video data；
First, the behavioral data to user and animation video data carry out statistics collection；
Secondly, remittance summation model user being carried out to the service condition of video, use time, usage frequency calculates；
Step s2, user behavior data and animation video data is substituted in animation video scoring formula and is calculated, obtain
To user preferences degree assessed value；
Step s3, according to user preferences degree assessed value, recommends corresponding animation video to user.
Further, in step s1, the behavioral data of described user at least includes: the login of user, jumps out, watches and regarding
It is always secondary that frequency type, the number of clicks of user, user viewing duration, user persistently watch number, page number of clicks, user's viewing
Number.
Further, in step s1, described animation video data at least includes video duration, video type.
Further, in step s2, described animation video scoring formula is:
N=sum (user click)/sum (page view)+sum (user time)/sum (vedio time)+sum
(user back)/sum(user all)；
Wherein, n represents user preferences degree assessed value, and user click represents user click frequency, and page view represents page
Face number of clicks, user time represents user's viewing duration, and vedio time represents video duration, and user back represents user
Persistently watch number, user all represents user's viewing total degree.
Animation ip user preferences degree assessment algorithm according to embodiments of the present invention, the present invention can help animation video production
Business, animation video distributor are estimated to the present video effect play and promote, and can comprehensive assessment animation video attract
The ability that the ability of user, user give more sustained attention, can interpolate that the design effect of video product and the concern of follow-up continuation
Ability.
Specifically, the present invention is that user accesses data based on magnanimity carries out effective algorithm calculating, can be according to equal
Condition users selection rate, user persistently watch behavior to assess user preferences degree and user's persistence of animation ip video, set
The assessment of all data, carries out user preferences degree assessment to animation ip video, thus being conducive to excavating new outstanding animation card
Logical content.
The aspect that the present invention adds and advantage will be set forth in part in the description, and partly will become from the following description
Obtain substantially, or recognized by the practice of the present invention.
Brief description
The above-mentioned and/or additional aspect of the present invention and advantage will become from reference to the description to embodiment for the accompanying drawings below
Substantially and easy to understand, wherein:
Fig. 1 is the workflow diagram of the animation ip user preferences degree assessment algorithm of the embodiment of the present invention；
Fig. 2 is the algorithm flow chart of the animation ip user preferences degree assessment algorithm of the embodiment of the present invention.
Specific embodiment
Embodiments of the invention are described below in detail, the example of described embodiment is shown in the drawings, wherein from start to finish
The element that same or similar label represents same or similar element or has same or like function.Below with reference to attached
The embodiment of figure description is exemplary it is intended to be used for explaining the present invention, and is not considered as limiting the invention.
The present invention provides a kind of animation ip user preferences degree assessment algorithm, refer to the attached drawing 1, comprises the following steps:
Step s1, collection user behavior data and animation video data；
First, the behavioral data to user and animation video data carry out statistics collection.
Wherein, the behavioral data of user at least includes: the login of user, the click time jumped out, watch video type, user
Number, user's viewing duration, user persistently watch number, page number of clicks, user's viewing total degree.
Animation video data at least includes video duration, video type.
Secondly, remittance summation model user being carried out to the service condition of video, use time, usage frequency calculates.
Step s2, user behavior data and animation video data is substituted in animation video scoring formula and is calculated, obtain
To user preferences degree assessed value；Algorithm flow chart is as shown in Figure 2.
Animation video scoring formula is:
N=sum (user click)/sum (page view)+sum (user time)/sum (vedio time)+sum
(user back)/sum(user all)；
Wherein, n represents user preferences degree assessed value, and user click represents user click frequency, and page view represents page
Face number of clicks, user time represents user's viewing duration, and vedio time represents video duration, and user back represents user
Persistently watch number, user all represents user's viewing total degree.
Step s3, according to user preferences degree assessed value, recommends corresponding animation video to user.
Operation principle: the present invention mainly utilizes multiple technological means, carries out statistics to the behavioral data of user in advance
Collect, the login of such as user, jump out, watch the data such as video and collected, then pass through user to the service condition of video,
Remittance summation model that use time, usage frequency are carried out calculates, by the model calculation of data and overall compare, to recommending
The cartoon video of user carries out recruitment evaluation such that it is able to judge that cartoon video is directed to overall value and the Attraction Degree of user.
Animation ip user preferences degree assessment algorithm according to embodiments of the present invention, the present invention can help animation video production
Business, animation video distributor are estimated to the present video effect play and promote, and can comprehensive assessment animation video attract
The ability that the ability of user, user give more sustained attention, can interpolate that the design effect of video product and the concern of follow-up continuation
Ability.
Patent of the present invention can help assessment that enterprise rationalized for some animations ip video runed and
Positioning, can help enterprise to filter out the animation ip of high-quality inside substantial amounts of animation video ip, help enterprise's quick lock in excellent
Matter resource.
Existing animation video evaluations are partly much identifications based on Review Team and assess, yet with animation and card
Logical customer group major part is partial to infant, and this kind of user group has larger area to the cognition of animation and cartoon with adult
Not, so having component assesses deviation, and the present invention is user accesses data based on magnanimity carries out effective algorithm calculating, energy
Enough persistently watch according to equal conditions user's selection rate, user that the user preferences degree of animation ip video is assessed in behavior and user holds
Continuous degree, gathers the assessment of all data, carries out user preferences degree assessment to animation ip video, thus being conducive to excavating new outstanding
Animation cartoon content.
Although embodiments of the invention have been shown and described above it is to be understood that above-described embodiment is example
Property it is impossible to be interpreted as limitation of the present invention, those of ordinary skill in the art is in the principle without departing from the present invention and objective
In the case of above-described embodiment can be changed within the scope of the invention, change, replace and modification.The scope of the present invention
Limited by claims are extremely equivalent.
Claims (4)
1. a kind of animation ip user preferences degree assessment algorithm is it is characterised in that comprise the following steps:
Step s1, collection user behavior data and animation video data；
First, the behavioral data to user and animation video data carry out statistics collection；
Secondly, remittance summation model user being carried out to the service condition of video, use time, usage frequency calculates；
Step s2, user behavior data and animation video data is substituted in animation video scoring formula and is calculated, used
Family preference degree assessed value；
Step s3, according to user preferences degree assessed value, recommends corresponding animation video to user.
2. as claimed in claim 1 a kind of animation ip user preferences degree assessment algorithm it is characterised in that: in step s1, institute
The behavioral data stating user at least includes: the login of user, jump out, watch video type, the number of clicks of user, user viewing
Duration, user persistently watch number, page number of clicks, user's viewing total degree.
3. as claimed in claim 1 a kind of animation ip user preferences degree assessment algorithm it is characterised in that: in step s1, institute
State animation video data and at least include video duration, video type.
4. as claimed in claim 1 a kind of animation ip user preferences degree assessment algorithm it is characterised in that: in step s2, institute
Stating animation video scoring formula is:
N=sum (user click)/sum (page view)+sum (user time)/sum (vedio time)+sum (user
back)/sum(user all)；
Wherein, n represents user preferences degree assessed value, and user click represents user click frequency, page view representation page point
Hit number of times, user time represents user's viewing duration, vedio time represents video duration, and user back represents that user continues
Viewing number, user all represents user's viewing total degree.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610785818.8A CN106339489A (en) | 2016-08-31 | 2016-08-31 | Evaluation algorithm for cartoon IP user preference degree |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610785818.8A CN106339489A (en) | 2016-08-31 | 2016-08-31 | Evaluation algorithm for cartoon IP user preference degree |
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| CN106339489A true CN106339489A (en) | 2017-01-18 |
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| CN201610785818.8A Pending CN106339489A (en) | 2016-08-31 | 2016-08-31 | Evaluation algorithm for cartoon IP user preference degree |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107943932A (en) * | 2017-11-22 | 2018-04-20 | 广州虎牙信息科技有限公司 | Category recommends method, storage device and terminal |
| CN108074126A (en) * | 2017-03-30 | 2018-05-25 | 北京市商汤科技开发有限公司 | A kind of business statistical method, device and electronic equipment |
| CN108074108A (en) * | 2017-11-02 | 2018-05-25 | 平安科技（深圳）有限公司 | A kind of display methods and its terminal of net recommendation |
| CN108563778A (en) * | 2018-04-24 | 2018-09-21 | 北京市商汤科技开发有限公司 | A kind of concern processing method and processing device of information, storage medium, electronic equipment |
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| CN104021162A (en) * | 2014-05-28 | 2014-09-03 | 小米科技有限责任公司 | Method and device for grading multimedia resource |
| CN104035982A (en) * | 2014-05-28 | 2014-09-10 | 小米科技有限责任公司 | Multimedia resource recommendation method and device |
| CN104216960A (en) * | 2014-08-21 | 2014-12-17 | 北京奇艺世纪科技有限公司 | Method and device for recommending video |
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2016
- 2016-08-31 CN CN201610785818.8A patent/CN106339489A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104021162A (en) * | 2014-05-28 | 2014-09-03 | 小米科技有限责任公司 | Method and device for grading multimedia resource |
| CN104035982A (en) * | 2014-05-28 | 2014-09-10 | 小米科技有限责任公司 | Multimedia resource recommendation method and device |
| CN104216960A (en) * | 2014-08-21 | 2014-12-17 | 北京奇艺世纪科技有限公司 | Method and device for recommending video |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108074126A (en) * | 2017-03-30 | 2018-05-25 | 北京市商汤科技开发有限公司 | A kind of business statistical method, device and electronic equipment |
| CN108074108A (en) * | 2017-11-02 | 2018-05-25 | 平安科技（深圳）有限公司 | A kind of display methods and its terminal of net recommendation |
| CN108074108B (en) * | 2017-11-02 | 2021-02-09 | 平安科技（深圳）有限公司 | Method and terminal for displaying net recommendation value |
| CN107943932A (en) * | 2017-11-22 | 2018-04-20 | 广州虎牙信息科技有限公司 | Category recommends method, storage device and terminal |
| CN107943932B (en) * | 2017-11-22 | 2020-06-09 | 广州虎牙信息科技有限公司 | Item recommendation method, storage device and terminal |
| CN108563778A (en) * | 2018-04-24 | 2018-09-21 | 北京市商汤科技开发有限公司 | A kind of concern processing method and processing device of information, storage medium, electronic equipment |
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Application publication date: 20170118 |