CN104504124B - Go out the method for entity temperature by video search and broadcasting behavior expression - Google Patents
Go out the method for entity temperature by video search and broadcasting behavior expression Download PDFInfo
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- CN104504124B CN104504124B CN201410850729.8A CN201410850729A CN104504124B CN 104504124 B CN104504124 B CN 104504124B CN 201410850729 A CN201410850729 A CN 201410850729A CN 104504124 B CN104504124 B CN 104504124B
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- 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
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- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
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Abstract
It is a kind of by video search and play behavior expression entity temperature method, choose certain sample time section first, and select multiple similar sample entities as sample object；Multiple typical index of the sample object temperature may be characterized by selecting；For each sample object, search time is determined, calculates the standard variance of each typical index in search time, then equalizes multiple standard variances of same typical index, so as to difference average variance；Utilize the average variance of different typical index, by AHP analytic hierarchy process (AHP)s, the weighted value of different typical index；For some sample, by each index odd-numbered day standardized value and the weighted value is multiplied by, obtains actual temperature weight of the index on the same day, all actual temperature weights are added, temperature of the sample on the same day is obtained, calculates the daily temperature of each entity, obtains the temperature ranking list of entity.The present invention realizes the quantization displaying of the top ranking lists of all entities.
Description
Technical field
The application is related to video broadcasting field, specifically, being related in video broadcasting field by video search and broadcasting
The method that behavior expression goes out entity temperature.
Background technology
With the development of network video technique, increasing people obtain required regard by video search engine
Frequently.So-called video search engine refers to Online Video playback website resource, video search, searching for Internet on searching for Internet
On featured videos resource, the film to be seen is inputted in " search " frame, TV play, the keyword such as MV scan for.And in crowd
In more Internet videos, the entity to attract attention how is found, that is, the higher entity of temperature turns into prior art urgently
The technical problem that need to be solved.
The content of the invention
It is an object of the invention to propose that one kind goes out entity temperature by video search and broadcasting behavior expression.
To use following technical scheme up to this purpose, the present invention：
It is a kind of by video search and play behavior expression entity temperature method, comprise the following steps：
Step 1, certain sample time section is chosen, select has what the significant impact time occurred in the sample time section
Multiple similar sample entities are as sample object；
Step 2, multiple typical index of the sample object temperature may be characterized by selecting, and the typical index includes being directed to
The volumes of searches of sample object, the positive playback volume of the sample object, the trailer and titbit playback volume of the sample object, institute
State the related news information playback volume of sample object；
Step 3, for each sample object, the time of its maximum effect time in the sample time section is determined
Point, and then search time of each a bit of time as the sample object before and after the time point is determined, calculate and ground described
The standard variance of each typical index in the time is studied carefully, then by multiple standard variances of the same typical index of all sample objects
Equalization, so as to respectively obtain the average variance of different typical index；
Step 4, using the average variance of different typical index, by AHP analytic hierarchy process (AHP)s, 9 grades is classified as, is entered
And Paired comparison matrix is constructed, and the weighted value of different typical index is obtained on the basis of the Paired comparison matrix；
Step 5, for some sample of identical entity, the actual value in each index odd-numbered day, divided by the index are being worked as
Day maximum, and the weighted value is multiplied by, actual temperature weight of the index on the same day is obtained, calculates the reality of all indexs respectively
Border temperature weight, and the actual temperature weight is added, temperature of the sample on the same day is obtained, calculates the every of each entity
It temperature, obtain the temperature ranking list of entity.
Preferably, the sample is the various research objects involved by video field.The sample is star, director, electricity
One in shadow, TV play.
Preferably, the sample is star, and each step is as follows：
Step 1, certain sample time section is chosen, select has what the significant impact time occurred in the sample time section
Multiple stars are as sample object；
Step 2, multiple typical index of star's temperature may be characterized by selecting, and the typical index includes the search of star
Amount, star take part in a performance the positive playback volume of collection of drama, and star takes part in a performance the trailer and titbit playback volume of collection of drama, the related news money of star
Playback volume is interrogated, and star participates in the playback volume of variety show；
Step 3, for each sample star, the time of its maximum effect time in the sample time section is determined
Point, and then each a bit of time before and after the time point is determined, as the search time of the sample object, calculate and ground described
The standard variance of each typical index in the time is studied carefully, then by multiple standard variances of the same typical index of all sample objects
Equalization, so as to respectively obtain the average variance of different typical index；
Step 4, using the average variance of different typical index, by AHP analytic hierarchy process (AHP)s, 9 grades is classified as, is entered
And Paired comparison matrix is constructed, and the weighted value of different typical index is obtained on the basis of the Paired comparison matrix, utilize different allusion quotations
The average variance of type index is classified as 9 grades by AHP analytic hierarchy process (AHP)s, and then constructs Paired comparison matrix, and described
The weighted value of different typical index is obtained on the basis of Paired comparison matrix；
Step 5, temperature computer capacity is extended to all star's scopes from the multiple sample star, for star i, its
The actual value of 5 indexs of odd-numbered day is respectively A volumes of searchesi, A positivesi, A trailersi, A informationi, A varietyi, while this day is all bright
Maximum in each index of star is designated as A volumes of searchesmax, A positivesmax, A trailersmax, A informationmax, A participate in varietymax, then should
Day star i hot value is,
, the hot value of each star value between 0-10, so as to obtain the temperature ranking list of star.
Preferably, in step 3, volumes of searches S average variance Sc calculating process is as follows：
Absolute volumes of searches：Si, wherein, 1≤i≤21
Standardized search amount：
Average normalized volumes of searches：
The variance of standardized search amount：
Then by the mean of variance of the standardized search amount of the multiple star so as to obtain search for figureofmerit entirety
Average variance Sc.
Preferably, the sample time Duan Weisan months, a bit of time was 10 days, and the multiple star is 15
Star.
The present invention can not only obtain the temperature trend of each entity itself, moreover it is possible to obtain daily temperature highest entity row
Row list, for the top ranking lists of all entities, realize quantization displaying.
Brief description of the drawings
Fig. 1 is by video search and the method for playing behavior expression entity temperature according to the present invention；
Fig. 2 is some star's temperature schematic diagram.
Embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the present invention, rather than limitation of the invention.It also should be noted that in order to just
Part related to the present invention rather than entire infrastructure are illustrate only in description, accompanying drawing.
The present invention defines concept related to the present invention first.
Entity, refer to the various research objects involved by video field, including star, director, film and TV play.Heat
Degree, refers to the concerned degree of above-mentioned entity, can applaud by people to be liked or be to be scold unfavorable comments continuous, but all
Reflect the concerned degree to come into question.In a particular embodiment of the present invention, the representative using star as all kinds of entities,
Explain the calculating process of temperature fraction.
Referring to Fig. 1, show according to the present invention by video search and the method for playing behavior expression entity temperature.
Step 1, certain sample time section, such as three months are chosen, select has great shadow in the sample time section
Multiple similar sample entities of time appearance are rung as sample object；
Step 2, multiple typical index of the sample object temperature may be characterized by selecting, and the typical index includes being directed to
The volumes of searches of sample object, the positive playback volume of the sample object, the trailer and titbit playback volume of the sample object, institute
State the related news information playback volume of sample object；
Step 3, for each sample object, the time of its maximum effect time in the sample time section is determined
Point, and then search time of each a bit of time as the sample object before and after the time point is determined, calculate and ground described
The standard variance of each typical index in the time is studied carefully, then by multiple standard variances of the same typical index of all sample objects
Equalization, so as to respectively obtain the average variance of different typical index；
Step 4, using the average variance of different typical index, by AHP analytic hierarchy process (AHP)s, 9 grades is classified as, is entered
And Paired comparison matrix is constructed, and the weighted value of different typical index is obtained on the basis of the Paired comparison matrix；
Step 5, for some sample of identical entity, the actual value in each index odd-numbered day, divided by the index are being worked as
Day maximum, and the weighted value is multiplied by, actual temperature weight of the index on the same day is obtained, calculates the reality of all indexs respectively
Border temperature weight, and the actual temperature weight is added, temperature of the sample on the same day is obtained, calculates the every of each entity
It temperature, obtain the temperature ranking list of entity.
Preferably, various research objects of the sample involved by video field, such as star, director, film, TV
One in play.
Preferably, the sample is star, and now, each step of this method is as follows：
Step 1, certain sample time section, such as three months are chosen, select has great shadow in the sample time section
Multiple stars of time appearance are rung as sample object, such as 15 stars；
Step 2, multiple typical index of star's temperature may be characterized by selecting, and the typical index includes the search of star
Amount, star take part in a performance the positive playback volume of collection of drama, and star takes part in a performance the trailer and titbit playback volume of collection of drama, the related news money of star
Playback volume is interrogated, and star participates in the playback volume of variety show；
Step 3, for each sample star, the time of its maximum effect time in the sample time section is determined
Point, and then each a bit of time before and after the time point is determined, such as 10 days, as the search time of the sample object, meter
The standard variance of each typical index in the search time is calculated, then by the more of the same typical index of all sample objects
Individual standard variance equalization, so as to respectively obtain the average variance of different typical index；
Referring to Fig. 2, by taking star's Huang's ripple as an example, the exposure of 20140516 whoring events is maximum effect event, therefore is selected
20140506-20140526 calculates period, by taking volumes of searches S as an example, its average variance Sc calculating process in totally 21 days for it
It is as follows：
Absolute volumes of searches：Si, wherein, 1≤i≤21
Standardized search amount：
Average normalized volumes of searches：
The variance of standardized search amount：
Then by the mean of variance of the standardized search amount of this 15 sample stars so as to obtain search for figureofmerit it is whole
The average variance Sc of body.
The average variance of volumes of searches is bigger in this 21 days, illustrates that change fluctuation of the volumes of searches before and after time point is got over
Greatly, it is also more important for reflection temperature change with regard to description standard volumes of searches.The overall of other each indexs can be similarly obtained to be averaged
Standard deviation square value.
Exemplary in step 3 to pick 15 sample stars, each equal hand picking of star went out it in three months
At most hot time point (time point of different stars is different), each star can calculate foregoing 5 before and after its time point
(volumes of searches of star, star's typical index take part in a performance the positive playback volume of collection of drama, and star takes part in a performance the trailer of collection of drama and titbit plays
Amount, the related news information playback volume of star, and star participate in the playback volume of variety show) corresponding to standardize variance yields.
The target of step 3 is to draw the variance yields of this 5 indexs, is serviced for step 4.But this 5 variances of single star
Value there may be certain error, therefore the present invention have chosen multiple stars, by the standardization variance of the volumes of searches of multiple stars
Final reference variance of the average value as search figureofmerit, other same 4 indexs also correspond to index using multiple stars and put down
Equal mode obtains final reference variance.Referring to table 1, the final Average normalized variance of this 5 indexs has been obtained.
The final Average normalized variance of the star's typical index of table 1.
| Positive | Trailer and titbit | Volumes of searches | Domestic News | Variety show | |
| Variance | 0.0336 | 0.0434 | 0.0461 | 0.0315 | 0.0203 |
Step 4, using the average variance of different typical index, by AHP analytic hierarchy process (AHP)s, 9 grades is classified as, is entered
And Paired comparison matrix is constructed, and the weighted value of different typical index is obtained on the basis of the Paired comparison matrix；
Those skilled in the art can know that, using Average normalized variance by AHP analytic hierarchy process (AHP)s, obtain different typical cases
The weighted value of index belongs to AHP conventional Calculation Method.
9 grades are one of AHP analytic hierarchy process (AHP) Paired comparison matrixes requirements, i.e., are weighed with 1-9 and its inverse between each index
Importance, 9 represent it is relatively most important, 1/9 represent it is relatively least important.As A indexs are most important, B indexs are least important, then A
It is 9 with respect to B.
The average variance of 5 indexs generated according to step 3, it can be seen that search figureofmerit variance is maximum, variety show
Variance is minimum, therefore can show that gear difference is
(0.0461-0.0203)/(9-1)=0.003225
And then any two index is extracted, such as " trailer and titbit " and " positive ", the gear differed between its variance is
(0.0434-0.0336)/0.003225=3
Therefore " trailer and titbit " is (3+1)=4 relative to the importance of " positive ", and " positive " is relative to " trailer
And titbit " importance then be 1/4.
That is, poor by maximum and minimum value divided by numbers of gear steps, the gear for obtaining every grade is poor, then by any two index
Poor divided by described gear it is poor, obtain mutual importance.
Obtained by similar processing, finally can obtain Paired comparison matrix referring to table 2：
The Paired comparison matrix of table 2.
, by AHP analytic hierarchy process (AHP)s, each weighted value of index, respectively P are generated finally using Paired comparison matrixVolumes of searches、
PPositive、PTrailer、PInformation、PVariety。
Step 5, temperature computer capacity is extended to all star's scopes from the multiple sample star, by taking star i as an example,
The actual value of its 5 index of odd-numbered day is respectively A volumes of searchesi, A positivesi, A trailersi, A informationi, A varietyi, while own the day
Maximum in each index of star is designated as A volumes of searchesmax, A positivesmax, A trailersmax, A informationmax, A participate in varietymax, then
This day star i hot value is,
, the hot value of each star value between 0-10.
Temperature trend so can be formed for the more days hot values of some star, while heat is done to the full dose star of one day
The arrangement of angle value inverted order can obtain this day temperature highest star's ranking list.
Therefore, the present invention can not only obtain the temperature trend of each entity itself, moreover it is possible to obtain daily temperature highest
Entity ranking list, for the top ranking lists of all entities, realize quantization displaying.
Above content is to combine specific preferred embodiment further description made for the present invention, it is impossible to is assert
The embodiment of the present invention is only limitted to this, for general technical staff of the technical field of the invention, is not taking off
On the premise of from present inventive concept, some simple deduction or replace can also be made, should all be considered as belonging to the present invention by institute
Claims of submission determine protection domain.
Claims (6)
1. it is a kind of by video search and the method for playing behavior expression entity temperature, comprise the following steps：
Step 1, certain sample time section is chosen, select there are the multiple of significant impact event appearance in the sample time section
Similar sample entity is as sample object；
Step 2, multiple typical index of the sample object temperature may be characterized by selecting, and the typical index includes being directed to sample
The volumes of searches of object, the positive playback volume of the sample object, the trailer and titbit playback volume of the sample object, the sample
The related news information playback volume of this object；
Step 3, for each sample object, the time point of its maximum effect event in the sample time section is determined, is entered
And search time of each a bit of time as the sample object before and after the time point is determined, calculate in the search time
The standard variance of interior each typical index, then multiple standard variances of the same typical index of all sample objects are averaged
Change, so as to respectively obtain the average variance of different typical index；
Step 4, using the average variance of different typical index, by AHP analytic hierarchy process (AHP)s, 9 grades, and then structure are classified as
Paired comparison matrix is made, and the weighted value of different typical index is obtained on the basis of the Paired comparison matrix；
Step 5, for some sample of identical entity, by the actual value in each index odd-numbered day, divided by the index the same day most
Big value, and the weighted value is multiplied by, actual temperature weight of the index on the same day is obtained, calculates the actual heat of all indexs respectively
Weight is spent, and the actual temperature weight is added, obtains temperature of the sample on the same day, calculates the daily of each entity
Temperature, obtain the temperature ranking list of entity.
2. according to claim 1 pass through video search and the method for playing behavior expression entity temperature, it is characterised in that：
The sample is the various research objects involved by video field.
3. according to claim 2 pass through video search and the method for playing behavior expression entity temperature, it is characterised in that：
The sample is one in star, director, film, TV play.
4. according to claim 3 pass through video search and the method for playing behavior expression entity temperature, it is characterised in that：
The sample is star, and each step is as follows：
Step 1, certain sample time section is chosen, select there are the multiple of significant impact event appearance in the sample time section
Star is as sample object；
Step 2, multiple typical index of star's temperature may be characterized by selecting, and the typical index includes the volumes of searches of star, bright
Star is taken part in a performance the positive playback volume of collection of drama, and star takes part in a performance the trailer and titbit playback volume of collection of drama, and the related news information of star is broadcast
High-volume, and star participates in the playback volume of variety show；
Step 3, for each sample star, the time point of its maximum effect event in the sample time section is determined, is entered
And each a bit of time before and after the time point is determined, as the search time of the sample object, calculate in the research
The standard variance of interior each typical index, then multiple standard variances of the same typical index of all sample objects are averaged
Change, so as to respectively obtain the average variance of different typical index；
Step 4, using the average variance of different typical index, by AHP analytic hierarchy process (AHP)s, 9 grades, and then structure are classified as
Paired comparison matrix is made, and the weighted value of different typical index is obtained on the basis of the Paired comparison matrix；
Step 5, temperature computer capacity is extended to all star's scopes from the multiple sample star, for star i, its odd-numbered day
The actual value of 5 indexs is respectively A volumes of searchesi, A positivesi, A trailersi, A informationi, A varietyi, while this day all star
Maximum in each index is designated as A volumes of searchesmax, A positivesmax, A trailersmax, A informationmax, A participate in varietymax, then this day it is bright
Star i hot value is,
,
The hot value of each star value between 0-10, so as to obtain the temperature ranking list of star.
5. according to claim 4 pass through video search and the method for playing behavior expression entity temperature, it is characterised in that：
In step 3, volumes of searches S average variance Sc calculating process is as follows：
Absolute volumes of searches：Si, wherein, 1≤i≤21
Standardized search amount：
Average normalized volumes of searches：
The variance of standardized search amount：
<mrow>
<mi>S</mi>
<mi>b</mi>
<mo>=</mo>
<mfrac>
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<msup>
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<mo>(</mo>
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<mi>Sa</mi>
<mn>1</mn>
</msub>
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<mi>v</mi>
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Then the mean of variance of the standardized search amount of the multiple star is put down so as to obtain searching for the overall of figureofmerit
Equal standard variance Sc.
6. according to claim 4 pass through video search and the method for playing behavior expression entity temperature, it is characterised in that：
The sample time Duan Weisan months, a bit of time was 10 days, and the multiple star is 15 stars.
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| CN107370614A (en) * | 2016-05-13 | 2017-11-21 | 北京京东尚科信息技术有限公司 | Network user active degree appraisal procedure and Forecasting Methodology |
| CN106844603B (en) * | 2017-01-16 | 2021-05-11 | 竹间智能科技（上海）有限公司 | Entity popularity calculation method and device, and application method and device |
| CN107341176B (en) * | 2017-05-23 | 2020-05-29 | 北京三快在线科技有限公司 | Sample weight setting method and device and electronic equipment |
| CN108932244B (en) * | 2017-05-24 | 2021-01-26 | 阿里巴巴（中国）有限公司 | Information identification method and device |
| CN107529093B (en) * | 2017-09-05 | 2020-05-22 | 北京奇艺世纪科技有限公司 | Method and system for detecting playing amount of video file |
| CN110147487B (en) * | 2017-10-17 | 2023-07-04 | 阿里巴巴华南技术有限公司 | Method and system for determining object heat and processing equipment |
| CN109309847A (en) * | 2018-09-11 | 2019-02-05 | 四川长虹电器股份有限公司 | A kind of video display entity temperature comprehensive estimation method |
| CN109327710B (en) * | 2018-12-10 | 2021-08-03 | 网宿科技股份有限公司 | Method and device for determining cold and hot conditions of video stream of live broadcast system |
| CN112015924A (en) * | 2019-05-31 | 2020-12-01 | 中国电信股份有限公司 | Streaming media caching method and device and computer storage medium |
| CN111125028B (en) * | 2019-12-25 | 2023-10-24 | 腾讯音乐娱乐科技（深圳）有限公司 | Method, device, server and storage medium for identifying audio files |
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