CN104021162A - Method and device for grading multimedia resource - Google Patents
Method and device for grading multimedia resource Download PDFInfo
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- CN104021162A CN104021162A CN201410230589.4A CN201410230589A CN104021162A CN 104021162 A CN104021162 A CN 104021162A CN 201410230589 A CN201410230589 A CN 201410230589A CN 104021162 A CN104021162 A CN 104021162A
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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
- G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
- G06F16/43—Querying
- G06F16/435—Filtering based on additional data, e.g. user or group profiles
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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
- G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
Abstract
The invention discloses a method and device for grading a multimedia resource and belongs to the technical field of multimedia. The method for grading the multimedia resource comprises the steps that the multimedia resource to be recommended and the attribute information of the multimedia resource to be recommended are obtained; a recommended multimedia resource similar to the multimedia resource to be recommended is determined according to the attribute information of the multimedia resource to be recommended; user preference scores, of the recommended multimedia resource, given by multiple users are obtained, wherein the user preference scores are obtained through calculation according to user behavior data corresponding to the recommended multimedia resource; user preference scores of the multimedia resource to be recommended are determined according to the user preference scores, of the recommended multimedia resource, given by the multiple users. Due to the fact that the user preference scores are obtained through calculation according to the user behavior data and the user behavior data can reflect the degree of preference to the multimedia resource of the users, the precision of an obtained score is high when the multimedia resource to be recommended is graded according to the user preference scores of the recommended multimedia resource.
Description
Technical field
The disclosure relates to multimedia technology field, particularly a kind of method and device for multimedia resource marking.
Background technology
In the information age, when user in accesses network, watch in the processes such as video frequency program, if recommend its interested multimedia resource to user, be not only convenient to user and carry out the operations such as the browsing of Related product, concern, and then reach the object that strengthens user experience; Also can make the manufacturer of multimedia resource make an appraisal to the concerned degree of this multimedia resource.And in order to carry out multimedia resource recommendation to accurate crowd, conventionally need in advance multimedia resource to be carried out to the marking of preference degree, this multimedia resource is recommended according to the score value of multimedia resource.
In correlation technique, conventionally take following manner to give a mark to multimedia resource.For a multimedia resource to be recommended, first according to the classification of this multimedia resource to be recommended, determine the multimedia resource similar to this multimedia resource, according to the user preferences degree score value of this similar multimedia resource, determine the user preferences degree score value of this multimedia resource to be recommended; The user preferences degree score value of the multimedia resource that this is similar obtains in the following way: on a plurality of playback equipments of this similar multimedia resource, throw in this similar multimedia resource, near and sensor installation on a plurality of playback equipments or a plurality of playback equipment, customer volume and user's residence time by this sensor statistics through a plurality of playback equipments, based on customer volume and user's residence time, calculate the user preferences degree score value of this similar multimedia resource.
In realizing process of the present disclosure, inventor finds that correlation technique at least exists following problem:
Owing to being that ease of user data (comprising customer volume, user's residence time) based on getting are given a mark to multimedia resource, so this kind of marking mode exists the defect that rate of precision is not high.
Summary of the invention
For overcoming the problem existing in correlation technique, the disclosure provides a kind of method and device for multimedia resource marking.
According to the first aspect of disclosure embodiment, a kind of method for multimedia resource marking is provided, described method comprises:
Obtain the attribute information of multimedia resource to be recommended and described multimedia resource to be recommended;
According to the attribute information of described multimedia resource to be recommended, determine the recommendation multimedia resource similar to described multimedia resource to be recommended;
Obtain a plurality of users to the described user preferences degree score value of having recommended multimedia resource, described user preferences degree score value has recommended the user behavior data that multimedia resource is corresponding to calculate according to described;
According to a plurality of users, to the described user preferences degree score value of having recommended multimedia resource, determine the user preferences degree score value of described multimedia resource to be recommended.
Alternatively, described in obtain a plurality of users to before the described user preferences degree score value of having recommended multimedia resource, described method also comprises:
For each user behavior data, determine at least one user behavior that described user behavior data comprises;
Inquire about pre-stored user behavior and the corresponding relation between user preferences value, obtain described user preferences value corresponding at least one user behavior;
The playing duration ratio of having recommended multimedia resource described in accounting for according to the duration of each user behavior, for described each user behavior arranges weighted value;
User preferences value and the weighted value corresponding according to described each user behavior, calculate described a plurality of user to the described user preferences degree score value of having recommended multimedia resource.
Alternatively, the user behavior type that described inquiry is pre-stored and the corresponding relation between user preferences value, before the user preferences value that described in obtaining, at least one user behavior is corresponding, described method also comprises:
For each user behavior, for described user behavior, user preferences value is set in advance;
Corresponding relation between user behavior and user preferences value is stored.
Alternatively, after the user preferences degree score value of described definite described multimedia resource to be recommended, described method also comprises:
According to the user preferences degree score value of described multimedia resource to be recommended, determine a plurality of reception users of described multimedia resource to be recommended;
Described multimedia resource to be recommended is sent to described a plurality of reception users' playback equipment.
Alternatively, the described user preferences degree score value according to described multimedia resource to be recommended is determined a plurality of reception users of described multimedia resource to be recommended, comprising:
In a plurality of user preferences degree score values corresponding to described multimedia resource to be recommended, determine the user preferences degree score value that is greater than predetermined threshold value;
To be greater than the user corresponding to user preferences degree score value of described predetermined threshold value, be defined as the reception user of described multimedia resource to be recommended.
Alternatively, after the described playback equipment that described multimedia resource to be recommended is sent to described a plurality of reception users, described method also comprises:
Obtain the user that the second sensor that described multimedia resource to be recommended is corresponding collects and watch data;
The user that described the second sensor is collected watches data analysis to process, and obtains a plurality of user behavior datas that described multimedia resource to be recommended is corresponding;
According to each user behavior data, upgrade the user preferences degree score value of described multimedia resource to be recommended;
According to the user preferences degree score value after upgrading, determine the validity of described multimedia resource to be recommended.
Alternatively, the user that described user behavior data is collected according to first sensor watches data analysis to obtain, described in described first sensor is arranged on, recommended on a plurality of playback equipments of multimedia resource or near described a plurality of playback equipment, described user watches data at least to comprise user's audio, video data and user video depth data.
According to the second aspect of disclosure embodiment, a kind of device for multimedia resource marking is provided, described device comprises:
Multimedia resource acquisition module, for obtaining multimedia resource to be recommended;
Attribute information acquisition module, for obtaining the attribute information of described multimedia resource to be recommended;
Multimedia resource determination module, for according to the attribute information of described multimedia resource to be recommended, determines the recommendation multimedia resource similar to described multimedia resource to be recommended;
User preferences degree score value acquisition module, for obtaining a plurality of users to the described user preferences degree score value of having recommended multimedia resource, described user preferences degree score value has recommended the user behavior data that multimedia resource is corresponding to calculate according to described, the data analysis that described user behavior data is collected according to first sensor obtains, and has recommended on a plurality of playback equipments of multimedia resource or near described a plurality of playback equipment described in described first sensor is arranged on;
User preferences degree score value determination module, for according to a plurality of users to the described user preferences degree score value of having recommended multimedia resource, determine the user preferences degree score value of described multimedia resource to be recommended.
Alternatively, described device also comprises:
User behavior determination module, for for each user behavior data, determines at least one user behavior that described user behavior data comprises;
User preferences value acquisition module, for inquiring about the corresponding relation between pre-stored user behavior and user preferences value, obtains described user preferences value corresponding at least one user behavior;
Weighted value determination module, for the playing duration ratio of having recommended multimedia resource described in accounting for according to the duration of each user behavior, for described each user behavior arranges weighted value;
The just loose module of user preferences degree score value, for user preferences value and the weighted value corresponding according to described each user behavior, calculates described a plurality of user to the described user preferences degree score value of having recommended multimedia resource.
Alternatively, described device also comprises:
User preferences value arranges module, for for each user behavior, for described user behavior, user preferences value is set in advance;
Memory module, for storing the corresponding relation between user behavior and user preferences value.
Alternatively, described device also comprises:
Receive user's determination module, for according to the user preferences degree score value of described multimedia resource to be recommended, determine a plurality of reception users of described multimedia resource to be recommended;
Multimedia resource sending module, for being sent to described multimedia resource to be recommended described a plurality of reception users' playback equipment.
Alternatively, described reception user determination module, at a plurality of user preferences degree score values corresponding to described multimedia resource to be recommended, determines the user preferences degree score value that is greater than predetermined threshold value; To be greater than the user corresponding to user preferences degree score value of described predetermined threshold value, be defined as the reception user of described multimedia resource to be recommended.
Alternatively, described device also comprises:
Sensing data acquisition module, watches data for obtaining the user that the second sensor that described multimedia resource to be recommended is corresponding collects;
User behavior data acquisition module, watches data analysis to process for the user that described the second sensor is collected, and obtains a plurality of user behavior datas that described multimedia resource to be recommended is corresponding;
User preferences degree score value update module, for according to each user behavior data, upgrades the user preferences degree score value of described multimedia resource to be recommended;
Validity determination module, for according to the user preferences degree score value after upgrading, determines the validity of described multimedia resource to be recommended.
Alternatively, the user that described user behavior data is collected according to first sensor watches data analysis to obtain, described in described first sensor is arranged on, recommended on a plurality of playback equipments of multimedia resource or near described a plurality of playback equipment, described user watches data at least to comprise user's audio, video data and user video depth data.
The technical scheme that embodiment of the present disclosure provides can comprise following beneficial effect:
According to the attribute information of multimedia resource to be recommended, determining the recommendation multimedia resource similar to multimedia resource to be recommended; Afterwards, according to a plurality of users to recommending the user preferences degree score value of multimedia resource, determine the user preferences degree score value of multimedia resource to be recommended, owing to recommending the user preferences degree score value of multimedia resource according to recommending the user behavior data that multimedia resource is corresponding to calculate, and user behavior data can react the true fancy grade of user to multimedia resource, so when multimedia resource to be recommended being given a mark according to the user preferences degree score value of recommending multimedia resource, the score value degree of accuracy obtaining is higher.
Should be understood that, it is only exemplary and explanatory that above general description and details are hereinafter described, and can not limit the disclosure.
Accompanying drawing explanation
Accompanying drawing is herein merged in instructions and forms the part of this instructions, shows embodiment according to the invention, and is used from and explains principle of the present invention with instructions one.
Fig. 1 is according to a kind of method flow diagram for multimedia resource marking shown in an exemplary embodiment.
Fig. 2 is according to a kind of method flow diagram for multimedia resource marking shown in an exemplary embodiment.
Fig. 3 is according to the schematic diagram of a kind of device for multimedia resource marking shown in an exemplary embodiment.
Fig. 4 is according to the block diagram of a kind of server shown in an exemplary embodiment.
Embodiment
Here will at length to exemplary embodiment, describe, its example shown in the accompanying drawings.When description below relates to accompanying drawing, unless separately there is expression, the same numbers in different accompanying drawings represents same or analogous key element.Embodiment described in following exemplary embodiment does not represent all embodiments consistent with the present invention.On the contrary, they are only the examples with apparatus and method as consistent in some aspects that described in detail in appended claims, of the present invention.
Fig. 1 is according to a kind of method flow diagram for multimedia resource marking shown in an exemplary embodiment, and as shown in Figure 1, the method method of giving a mark for multimedia resource is used for server, comprises the following steps.
In step 101, obtain the attribute information of multimedia resource to be recommended and multimedia resource to be recommended.
In step 102, according to the attribute information of multimedia resource to be recommended, determine the recommendation multimedia resource similar to multimedia resource to be recommended.
In step 103, obtain a plurality of users to recommending the user preferences degree score value of multimedia resource, user preferences degree score value is according to recommending the user behavior data that multimedia resource is corresponding to calculate.
In step 104, according to a plurality of users, to recommending the user preferences degree score value of multimedia resource, determine the user preferences degree score value of multimedia resource to be recommended.
The method that disclosure embodiment provides, is determining the recommendation multimedia resource similar to multimedia resource to be recommended according to the attribute information of multimedia resource to be recommended; Afterwards, according to a plurality of users to recommending the user preferences degree score value of multimedia resource, determine the user preferences degree score value of multimedia resource to be recommended, owing to recommending the user preferences degree score value of multimedia resource according to recommending the user behavior data that multimedia resource is corresponding to calculate, and user behavior data can react the true fancy grade of user to multimedia resource, so when multimedia resource to be recommended being given a mark according to the user preferences degree score value of recommending multimedia resource, the score value degree of accuracy obtaining is higher.
Alternatively, obtain a plurality of users to before recommending the user preferences degree score value of multimedia resource, the method also comprises:
For each user behavior data, determine at least one user behavior that user behavior data comprises;
Inquire about pre-stored user behavior and the corresponding relation between user preferences value, obtain the user preferences value that at least one user behavior is corresponding;
According to the duration of each user behavior, account for the playing duration ratio of recommending multimedia resource, for each user behavior arranges weighted value;
User preferences value and the weighted value corresponding according to each user behavior, calculate a plurality of users to recommending the user preferences degree score value of multimedia resource.
Alternatively, inquire about pre-stored user behavior type and the corresponding relation between user preferences value, before obtaining user preferences value that at least one user behavior is corresponding, the method also comprises:
For each user behavior, in advance for user behavior arranges user preferences value;
Corresponding relation between user behavior and user preferences value is stored.
Alternatively, after determining the user preferences degree score value of multimedia resource to be recommended, the method also comprises:
According to the user preferences degree score value of multimedia resource to be recommended, determine a plurality of reception users of multimedia resource to be recommended;
Multimedia resource to be recommended is sent to a plurality of reception users' playback equipment.
Alternatively, according to the user preferences degree score value of multimedia resource to be recommended, determine a plurality of reception users of multimedia resource to be recommended, comprising:
In a plurality of user preferences degree score values corresponding to multimedia resource to be recommended, determine the user preferences degree score value that is greater than predetermined threshold value;
To be greater than the user corresponding to user preferences degree score value of predetermined threshold value, be defined as the reception user of multimedia resource to be recommended.
Alternatively, after multimedia resource to be recommended being sent to a plurality of reception users' playback equipment, the method also comprises:
Obtain the user that the second sensor that multimedia resource to be recommended is corresponding collects and watch data;
The user that the second sensor is collected watches data analysis to process, and obtains a plurality of user behavior datas that multimedia resource to be recommended is corresponding;
According to each user behavior data, upgrade the user preferences degree score value of multimedia resource to be recommended;
According to the user preferences degree score value after upgrading, determine the validity of multimedia resource to be recommended.
Alternatively, the user that user behavior data is collected according to first sensor watches data analysis to obtain, first sensor is arranged on a plurality of playback equipments of recommending multimedia resource or near a plurality of playback equipment, and user watches data at least to comprise user's audio, video data and user video depth data.
Above-mentioned all optional technical schemes, can adopt any combination to form optional embodiment of the present invention, and this is no longer going to repeat them.
Fig. 2 is according to a kind of method flow diagram for multimedia resource marking shown in an exemplary embodiment, and as shown in Figure 2, the method for giving a mark for multimedia resource is used for server, comprises the following steps.
In step 201, for recommending multimedia resource, by first sensor, to collect this and recommended the user of multimedia resource to watch data, this first sensor is arranged on a plurality of playback equipments of recommending multimedia resource or near a plurality of playback equipment.
In disclosure embodiment, for any multimedia resource, no matter this multimedia resource is for recommending multimedia resource or multimedia resource to be recommended, an all corresponding identify label (ID), and this identify label only one to one multimedia resource identifies.Why for each multimedia resource arranges an identify label, because may store numerous multimedia resource in server, for the numerous multimedia resource of data is identified and distinguished, in disclosure embodiment, each multimedia resource is distinguished to a corresponding identify label.Wherein, can serve as reasons numeral or character of this identify label forms, or is comprised of numeral and character, and disclosure embodiment does not specifically limit the form of identify label.
In addition,, for any multimedia resource, except comprising an identify label, also can comprise other attribute informations.Such as, the affiliated classification of multimedia resource, the broadcasting form of multimedia resource, the different editions of multimedia resource, the playing duration of the reproduction time of multimedia resource, multimedia resource are, playback equipment of multimedia resource etc.Wherein, the classification of multimedia resource can comprise household electrical appliances, food, clothes, sports goods, shoes and hats etc.; The broadcasting form of multimedia resource can be divided into video, picture, audio frequency etc.; The reproduction time of multimedia resource refers to the special time of multimedia resource within the scope of that special time and plays; The playing duration of multimedia resource can equal self duration of multimedia resource, also can be greater than self duration of multimedia resource; The playback equipment of multimedia resource can comprise that the multimedia play equipment of public domain also can comprise the multimedia play equipment of private savings.
In disclosure embodiment, recommended on a plurality of playback equipments of multimedia resource or be provided with first sensor near a plurality of playback equipment.Wherein, first sensor refers at least one sensor, only with this noun of first sensor to recommending the sensor that multimedia resource is corresponding to name.Wherein, for intelligent television or this class playback equipment of intelligent computer, its except built-in camera, also general built-in sensors, or the built-in camera with sensing function, for this kind equipment, sensor is just on playback equipment; For the multimedia resource of common TV or public domain is shown this class playback equipment of position, owing to there is no built-in sensor, so will be on playback equipment or near playback equipment sensor installation, according to sensor, collect user and watch data.Wherein, sensor can comprise microphone, camera, with the vision sensor of depth information, sensor, range sensor and the optical sensor etc. of transmitting near infrared light, and disclosure embodiment does not do concrete restriction to the type of sensor.
In addition, user watches data to refer to the user's audio, video data that is positioned at its coverage and user video depth data that sensor gets.By this user, watch data can obtain number of users, each user's identity, each user's particular community (sex, general age), each user's the specific behavior etc. in sensor coverage.
In step 202, to this, recommended the user of multimedia resource to watch data analysis to process, obtain this and recommended a plurality of user behavior datas that multimedia resource is corresponding.
In disclosure embodiment, this has recommended a plurality of playback equipments of multimedia resource within a period of time, may play tens hundreds of multimedia resource even, and then be placed on a plurality of playback equipments or a plurality of playback equipment near first sensor just can collect tens even user corresponding to a hundreds of multimedia resource watch data, and these users watch data to be all entrained in together, so obtain this in need to watching data the user of magnanimity, recommended the user of multimedia resource to watch data.When obtaining this user who has recommended multimedia resource and watch data, specifically can take following manner to realize:
Obtain the reproduction time that this has recommended multimedia resource, according to this reproduction time, from mass users, watch obtaining data being positioned at the user of this reproduction time time period of living in and watching data, and watch data to recommend the user of multimedia resource to watch data as this user who gets.
Certainly, except taking above-mentioned obtaining this mode of having recommended multimedia resource, also can take other obtain manners, disclosure embodiment does not do concrete restriction to this.Watch after data getting this user who has recommended multimedia resource, by watching data analysis to process just can obtaining this to this user, recommended a plurality of user behavior datas that multimedia resource is corresponding.Wherein, the specific implementation of watching data to obtain user behavior data according to user belongs to existing mature technology, by special algorithm, just can realize, and specifically with reference to prior art, repeats no more herein.The corresponding user behavior data of one of them user, this user behavior data is at least contained a user behavior.Wherein, user behavior can comprise enter or leave first sensor coverage, watch this playback equipment of having recommended multimedia resource attentively, speak, laugh, large gesture motion, large body move, sleep, sit, walk about etc., the content that disclosure embodiment comprises user behavior is not done concrete restriction.
In step 203, for each user behavior data, determine at least one user behavior that user behavior data comprises; Inquire about pre-stored user behavior and the corresponding relation between user preferences value, obtain the user preferences value that at least one user behavior is corresponding.
Wherein, a user's user behavior data can comprise one or more user behavior.Such as, for a user, when watching this to recommend multimedia resource, may laugh and have large gesture motion (applause).User preferences value has been recommended the fancy grade of multimedia resource for characterizing user to this.In disclosure embodiment, before obtaining the user preferences value that at least one user behavior is corresponding, also comprise the process of setting up the corresponding relation between user behavior and user preferences value, as follows in detail:
For each user behavior, in advance for user behavior arranges user preferences value; Corresponding relation between user behavior and user preferences value is stored.
When user preferences value being set for user behavior in advance, specifically can take following two kinds of modes to realize:
First kind of way, based on experience value, directly for different user preferences values is specified in different user behavior.
User, watch in the process of multimedia resource, if laugh or large limb action occurs, this user comparatively likes this multimedia resource so obviously; If in sleep state or directly leave, obviously this user to this multimedia resource scheme comparatively.First kind of way based on this empirical value to different user behavior designated user hobby value.Certainly, for first kind of way, it is poor that user preferences value arranges precision.
The mode of the second way, employing machine learning, collects a large amount of user behavior datas, and a large amount of user behavior datas is analyzed and added up, according to analytic statistics result, be that different user preferences values is specified in different user behavior.
For the second way, owing to taking the mode of machine learning to be analyzed a large amount of user behavior datas, so when behavior arranges user preferences value to different user, precision is set also higher.
In step 204, according to the duration of each user behavior, account for the playing duration ratio of recommending multimedia resource, for each user behavior arranges weighted value.
In disclosure embodiment, for a user, in the initial play moment of having recommended multimedia resource at this, this user may be attracted by its dazzling beginning, laughs and progressively to this, has recommended the playback equipment of multimedia resource to walk close to; After beginning, this user may recommend expression theme or the recommended products of multimedia resource to lose interest to this suddenly, directly leaves.For this situation, in order to determine that more accurately a plurality of users have recommended the fancy grade of multimedia resource to this, disclosure embodiment is also included as the step that weighted value is set for each user behavior.
When weighted value being set for each user behavior, can accounting for according to the duration of each user behavior and recommend the playing duration ratio of multimedia resource to arrange.For a user behavior, its duration accounts for this and has recommended the playing duration ratio of multimedia resource larger, and corresponding weighted value is larger.Suppose that this playing duration of having recommended multimedia resource is 30 seconds, first a certain user produces large gesture motion (fierce applause) during this period, then with other people talk, no longer watch this to recommend multimedia resource, but the duration of large gesture motion is only 5 seconds, it is 1/6 that shared this recommended the playing duration ratio of multimedia resource; And no longer watch this duration of having recommended multimedia resource with other people talk, it is 25 seconds, it is 5/6 that shared this recommended the playing duration ratio of multimedia resource, so above-mentioned two user behaviors are being arranged to weighted value, and the latter's weighted value will be far longer than the former weighted value.
In step 205, user preferences value and the weighted value corresponding according to each user behavior, calculate a plurality of users this recommended to the user preferences degree score value of multimedia resource.
In disclosure embodiment, obtain the user preferences value and weighted value that each user behavior is corresponding according to above-mentioned steps 203 and step 204 after, according to following formula (1), just can obtain a plurality of users this has been play to the user preferences degree score value to media resource.
Wherein, S refers to user preferences degree score value; a
1to a
nrefer to the user preferences value that each user behavior is corresponding; r
1to r
nrefer to the user preferences value that each user behavior is corresponding, n refers to the number of user behavior.
It should be noted that, by above-mentioned steps 201, to the method shown in step 205, can obtain each and recommend the user preferences degree score value that multimedia resource is corresponding.In subsequent process, before a multimedia resource to be recommended is play, by above-mentioned, recommended the user preferences degree score value that multimedia resource is corresponding just can carry out preference degree marking to this multimedia resource to be recommended, and then according to the user preferences degree score value of this multimedia resource to be recommended, multimedia resource to be recommended is recommended, thereby promote multimedia resource, recommended precision.
In step 206, obtain the attribute information of multimedia resource to be recommended and multimedia resource to be recommended.
In disclosure embodiment, the information type that the attribute information of multimedia resource to be recommended comprises with the attribute information of having recommended multimedia resource is consistent, include but not limited to the affiliated classification of multimedia resource, the broadcasting form of multimedia resource, the different editions of multimedia resource, the playing duration of the reproduction time of multimedia resource, multimedia resource, playback equipment of multimedia resource etc.
In addition, because the manufacturer of multimedia resource to be recommended is when uploading this multimedia resource to be recommended to server, just can upload the attribute information of this multimedia resource to be recommended, and server is after receiving this multimedia resource to be recommended and attribute information thereof, will be for this multimedia resource to be recommended distributes interim storage space, and for this multi-medium data to be recommended, identify label is set.When multimedia resource to be recommended is recommended, can according to this, recommend the identify label of multi-medium data, in corresponding storage space, obtain the attribute information of this multimedia resource to be recommended and this multimedia resource to be recommended.
In step 207, according to the attribute information of multimedia resource to be recommended, determine the recommendation multimedia resource similar to multimedia resource to be recommended.
In disclosure embodiment, according to the attribute information of multimedia resource to be recommended, while determining the recommendation multimedia resource similar to multimedia resource to be recommended, one or more information types that can comprise according to attribute information are determined the similar multimedia resource of recommendation, and the quantity of information type is more, determine that result is more accurate.Such as, can determine together the recommendation multimedia resource similar to multimedia resource to be recommended according to the affiliated classification of multimedia resource, the reproduction time of multimedia resource and the playing duration of multimedia resource.If have affiliated classification, reproduction time and the playing duration of a multimedia resource of having recommended consistent with affiliated classification, reproduction time and the playing duration of multimedia resource to be recommended, think that the two is similar.
In addition, if determine a plurality of the recommended multimedia resources similar to multimedia resource to be recommended according to above-mentioned steps 207, can according to other information types in attribute information, continue similar a plurality of multimedia resources of having recommended to screen, until find the recommendation multimedia resource the most similar to multimedia resource to be recommended.Or, similar a plurality of multimedia resources of having recommended are not screened, in subsequent process, according to a plurality of similar user preferences degree score values of recommending multimedia resource, determine the user preferences degree score value of multimedia resource to be recommended.
In step 208, obtain a plurality of users to recommending the user preferences degree score value of multimedia resource, according to a plurality of users, to recommending the user preferences degree score value of multimedia resource, determine the user preferences degree score value of multimedia resource to be recommended.
In disclosure embodiment, getting a plurality of users to recommending after the user preferences degree score value of multimedia resource, can be directly using a plurality of users to recommending the user preferences degree score value of multimedia resource as the user preferences degree score value of multimedia resource to be recommended; Also can be according to attribute informations such as a plurality of users' age, sexes by a plurality of users to recommending the user preferences degree score value of multimedia resource to classify.As using the age as criteria for classification, add up respectively each age level this has been recommended to the user preferences degree score value of multimedia resource.Such as, statistics 10-20 year user has recommended the user preferences degree score value of multimedia resource to this; 20-30 year user has recommended the user preferences degree score value of multimedia resource to this; 30-40 year user has recommended the user preferences degree score value of multimedia resource to this; 40-50 year user has recommended the user preferences degree score value of multimedia resource to this; 50-60 year user has recommended the user preferences degree score value of multimedia resource to this; Within 60 years old, above user has recommended the user preferences degree score value of multimedia resource to this.To this, recommended the user preferences degree score value of multimedia resource as the user preferences degree score value of multimedia resource to be recommended each age level user.
In addition, when calculating each age level this recommended to the user preferences degree score value to media data, can be by user preferences degree score value corresponding to whole users in this age level, lower than the user preferences degree score value of the first numerical value with delete higher than the user preferences degree score value of second value, remaining user preferences degree score value is averaged, and the mean value obtaining is as user preferences degree score value corresponding to this age level user.Certainly, except each age level of above-mentioned calculating user the mode of user preferences degree score value of multimedia resource, also can take other account forms to recommending, disclosure embodiment does not do concrete restriction to this.
In step 209, according to the user preferences degree score value of multimedia resource to be recommended, determine a plurality of reception users of multimedia resource to be recommended; Multimedia resource to be recommended is sent to a plurality of reception users' playback equipment.
In disclosure embodiment, according to the user preferences degree score value of multimedia resource to be recommended, while determining a plurality of reception user of multimedia resource to be recommended, specifically can take following manner to realize: in a plurality of user preferences degree score values corresponding to multimedia resource to be recommended, to determine the user preferences degree score value that is greater than predetermined threshold value; To be greater than the user corresponding to user preferences degree score value of predetermined threshold value, be defined as the reception user of multimedia resource to be recommended.
Wherein, the size of predetermined threshold value can be the numerical value such as 10 or 100, and disclosure embodiment does not do concrete restriction to this.The size of predetermined threshold value is determined by the setting of user preferences value and weighted value.
In addition, if using each age level user to the user preferences degree score value of this multimedia resource to be recommended the user preferences degree score value as this multimedia resource to be recommended, can determine age level corresponding to user preferences degree score value that is greater than predetermined threshold value, and then the reception user using all users in this age level as multimedia resource to be recommended.
It should be noted that, by above-mentioned steps 201 to step 209, just can complete multimedia marking to be recommended and recommendation.After multimedia resource to be recommended is recommended, the user who also collects by the second sensor being arranged on the playback equipment of multimedia resource to be recommended watches data to upgrade the user preferences degree score value of multimedia resource to be recommended, and detailed process refers to following step 210.
In step 210, obtain the user that the second sensor that multimedia resource to be recommended is corresponding collects and watch data; The user that the second sensor is collected watches data analysis to process, and obtains a plurality of user behavior datas that multimedia resource to be recommended is corresponding; According to each user behavior data, upgrade the user preferences degree score value of multimedia resource to be recommended.
This step is obtained user and is watched data, according to user, watches data acquisition user behavior data and refer to above-mentioned steps 201 to step 209 according to the detailed process that user behavior data upgrades the user preferences degree score value of multimedia resource to be recommended, repeats no more herein.After user preferences degree score value after being upgraded, according to the user preferences degree score value after upgrading, can determine the validity of multimedia resource to be recommended.Also, multi-medium data to be recommended after true input, can be evaluated to the pouplarity of this multimedia resource to be recommended in actual environment according to the user preferences degree score value after upgrading.In addition, in conjunction with user property, also can add up the fancy grade of different crowd to multimedia resource to be recommended, such as adding up young people, a middle-aged person and the elderly fancy grade to multimedia resource to be recommended respectively.In conjunction with playback equipment information, also can add up while playing pouplarity of multimedia resource to be recommended etc. on different playback equipments.All these statistics both can be added up respectively, also can combine and add up.
The method that disclosure embodiment provides, is determining the recommendation multimedia resource similar to multimedia resource to be recommended according to the attribute information of multimedia resource to be recommended; Afterwards, according to a plurality of users to recommending the user preferences degree score value of multimedia resource, determine the user preferences degree score value of multimedia resource to be recommended, owing to recommending the user preferences degree score value of multimedia resource according to recommending the user behavior data that multimedia resource is corresponding to calculate, and user behavior data can react the true fancy grade of user to multimedia resource, so when multimedia resource to be recommended being given a mark according to the user preferences degree score value of recommending multimedia resource, the score value degree of accuracy obtaining is higher.
Fig. 3 is according to the schematic diagram of a kind of device for multimedia resource marking shown in an exemplary embodiment.With reference to Fig. 3, this device comprises multimedia resource acquisition module 301, attribute information acquisition module 302, multimedia resource determination module 303, user preferences degree score value acquisition module 304, user preferences degree score value determination module 305.
Wherein, multimedia resource acquisition module 301 is connected with attribute information acquisition module 302, for obtaining multimedia resource to be recommended; Attribute information acquisition module 302 multimedia resource determination modules 303 connect, for obtaining the attribute information of multimedia resource to be recommended; Multimedia resource determination module 303 is connected with user preferences degree score value acquisition module 304, for according to the attribute information of multimedia resource to be recommended, determines the recommendation multimedia resource similar to multimedia resource to be recommended; User preferences degree score value acquisition module 304 is connected with user preferences degree score value determination module 305, for obtaining a plurality of users to recommending the user preferences degree score value of multimedia resource, user preferences degree score value is according to recommending the user behavior data that multimedia resource is corresponding to calculate, the data analysis that user behavior data is collected according to first sensor obtains, and first sensor is arranged on a plurality of playback equipments of recommending multimedia resource or near a plurality of playback equipment; User preferences degree score value determination module 305, for according to a plurality of users to recommending the user preferences degree score value of multimedia resource, determine the user preferences degree score value of multimedia resource to be recommended.
Alternatively, this device also comprises:
User behavior determination module, for for each user behavior data, determines at least one user behavior that user behavior data comprises;
User preferences value acquisition module, for inquiring about the corresponding relation between pre-stored user behavior and user preferences value, obtains the user preferences value that at least one user behavior is corresponding;
Weighted value determination module, for account for the playing duration ratio of recommending multimedia resource according to the duration of each user behavior, for each user behavior arranges weighted value;
The just loose module of user preferences degree score value, for user preferences value and the weighted value corresponding according to each user behavior, calculates a plurality of users to recommending the user preferences degree score value of multimedia resource.
Alternatively, this device also comprises:
User preferences value arranges module, for for each user behavior, in advance for user behavior arranges user preferences value;
Memory module, for storing the corresponding relation between user behavior and user preferences value.
Alternatively, this device also comprises:
Receive user's determination module, for according to the user preferences degree score value of multimedia resource to be recommended, determine a plurality of reception users of multimedia resource to be recommended;
Multimedia resource sending module, for being sent to multimedia resource to be recommended a plurality of reception users' playback equipment.
Alternatively, receive user's determination module, at a plurality of user preferences degree score values corresponding to multimedia resource to be recommended, determine the user preferences degree score value that is greater than predetermined threshold value; To be greater than the user corresponding to user preferences degree score value of predetermined threshold value, be defined as the reception user of multimedia resource to be recommended.
Alternatively, this device also comprises:
Sensing data acquisition module, watches data for obtaining the user that the second sensor that multimedia resource to be recommended is corresponding collects;
User behavior data acquisition module, watches data analysis to process for the user that the second sensor is collected, and obtains a plurality of user behavior datas that multimedia resource to be recommended is corresponding;
User preferences degree score value update module, for according to each user behavior data, upgrades the user preferences degree score value of multimedia resource to be recommended;
Validity determination module, for according to the user preferences degree score value after upgrading, determines the validity of multimedia resource to be recommended.
Alternatively, the user that user behavior data is collected according to first sensor watches data analysis to obtain, first sensor is arranged on a plurality of playback equipments of recommending multimedia resource or near a plurality of playback equipment, and user watches data at least to comprise user's audio, video data and user video depth data.
The device that disclosure embodiment provides, is determining the recommendation multimedia resource similar to multimedia resource to be recommended according to the attribute information of multimedia resource to be recommended; Afterwards, according to a plurality of users to recommending the user preferences degree score value of multimedia resource, determine the user preferences degree score value of multimedia resource to be recommended, owing to recommending the user preferences degree score value of multimedia resource according to recommending the user behavior data that multimedia resource is corresponding to calculate, and user behavior data can react the true fancy grade of user to multimedia resource, so when multimedia resource to be recommended being given a mark according to the user preferences degree score value of recommending multimedia resource, the score value degree of accuracy obtaining is higher.
About the device in above-described embodiment, wherein the concrete mode of modules executable operations have been described in detail in the embodiment of relevant the method, will not elaborate explanation herein.
Fig. 4 is the structural representation of server in disclosure embodiment, the method for multimedia resource marking providing for carrying out above-described embodiment.This server 400 can because of configuration or performance is different produces larger difference, can comprise one or more central processing units (central processing units, CPU) 422 (for example, one or more processors) and storer 432, the storage medium 430 (for example one or more mass memory units) of one or more storage application programs 442 or data 444.Wherein, storer 432 and storage medium 430 can be of short duration storage or storage lastingly.The program that is stored in storage medium 430 can comprise one or more modules (diagram does not mark), and each module can comprise a series of command operatings in server.Further, central processing unit 422 can be set to communicate by letter with storage medium 430, carries out a series of command operatings in storage medium 430 on server 400.
Server 400 can also comprise one or more power supplys 426, one or more wired or wireless network interfaces 450, one or more IO interface 458, one or more keyboards 456, and/or, one or more operating systems 441, Windows ServerTM for example, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM etc.
Those skilled in the art, considering instructions and putting into practice after invention disclosed herein, will easily expect other embodiment of the present invention.The application is intended to contain any modification of the present invention, purposes or adaptations, and these modification, purposes or adaptations are followed general principle of the present invention and comprised undocumented common practise or the conventional techniques means in the art of the disclosure.Instructions and embodiment are only regarded as exemplary, and true scope of the present invention and spirit are pointed out by claim below.
Should be understood that, the present invention is not limited to precision architecture described above and illustrated in the accompanying drawings, and can carry out various modifications and change not departing from its scope.Scope of the present invention is only limited by appended claim.
Claims (14)
1. for a method for multimedia resource marking, it is characterized in that, described method comprises:
Obtain the attribute information of multimedia resource to be recommended and described multimedia resource to be recommended;
According to the attribute information of described multimedia resource to be recommended, determine the recommendation multimedia resource similar to described multimedia resource to be recommended;
Obtain a plurality of users to the described user preferences degree score value of having recommended multimedia resource, described user preferences degree score value has recommended the user behavior data that multimedia resource is corresponding to calculate according to described;
According to a plurality of users, to the described user preferences degree score value of having recommended multimedia resource, determine the user preferences degree score value of described multimedia resource to be recommended.
2. method according to claim 1, is characterized in that, described in obtain a plurality of users to before the described user preferences degree score value of having recommended multimedia resource, described method also comprises:
For each user behavior data, determine at least one user behavior that described user behavior data comprises;
Inquire about pre-stored user behavior and the corresponding relation between user preferences value, obtain described user preferences value corresponding at least one user behavior;
The playing duration ratio of having recommended multimedia resource described in accounting for according to the duration of each user behavior, for described each user behavior arranges weighted value;
User preferences value and the weighted value corresponding according to described each user behavior, calculate described a plurality of user to the described user preferences degree score value of having recommended multimedia resource.
3. method according to claim 2, is characterized in that, the user behavior type that described inquiry is pre-stored and the corresponding relation between user preferences value, and before the user preferences value that described in obtaining, at least one user behavior is corresponding, described method also comprises:
For each user behavior, for described user behavior, user preferences value is set in advance;
Corresponding relation between user behavior and user preferences value is stored.
4. method according to claim 1, is characterized in that, after the user preferences degree score value of described definite described multimedia resource to be recommended, described method also comprises:
According to the user preferences degree score value of described multimedia resource to be recommended, determine a plurality of reception users of described multimedia resource to be recommended;
Described multimedia resource to be recommended is sent to described a plurality of reception users' playback equipment.
5. method according to claim 4, is characterized in that, the described user preferences degree score value according to described multimedia resource to be recommended is determined a plurality of reception users of described multimedia resource to be recommended, comprising:
In a plurality of user preferences degree score values corresponding to described multimedia resource to be recommended, determine the user preferences degree score value that is greater than predetermined threshold value;
To be greater than the user corresponding to user preferences degree score value of described predetermined threshold value, be defined as the reception user of described multimedia resource to be recommended.
6. method according to claim 4, is characterized in that, after the described playback equipment that described multimedia resource to be recommended is sent to described a plurality of reception users, described method also comprises:
Obtain the user that the second sensor that described multimedia resource to be recommended is corresponding collects and watch data;
The user that described the second sensor is collected watches data analysis to process, and obtains a plurality of user behavior datas that described multimedia resource to be recommended is corresponding;
According to each user behavior data, upgrade the user preferences degree score value of described multimedia resource to be recommended;
According to the user preferences degree score value after upgrading, determine the validity of described multimedia resource to be recommended.
7. method according to claim 1, it is characterized in that, the user that described user behavior data is collected according to first sensor watches data analysis to obtain, described in described first sensor is arranged on, recommended on a plurality of playback equipments of multimedia resource or near described a plurality of playback equipment, described user watches data at least to comprise user's audio, video data and user video depth data.
8. for a device for multimedia resource marking, it is characterized in that, described device comprises:
Multimedia resource acquisition module, for obtaining multimedia resource to be recommended;
Attribute information acquisition module, for obtaining the attribute information of described multimedia resource to be recommended;
Multimedia resource determination module, for according to the attribute information of described multimedia resource to be recommended, determines the recommendation multimedia resource similar to described multimedia resource to be recommended;
User preferences degree score value acquisition module, for obtaining a plurality of users to the described user preferences degree score value of having recommended multimedia resource, described user preferences degree score value has recommended the user behavior data that multimedia resource is corresponding to calculate according to described, the data analysis that described user behavior data is collected according to first sensor obtains, and has recommended on a plurality of playback equipments of multimedia resource or near described a plurality of playback equipment described in described first sensor is arranged on;
User preferences degree score value determination module, for according to a plurality of users to the described user preferences degree score value of having recommended multimedia resource, determine the user preferences degree score value of described multimedia resource to be recommended.
9. device according to claim 8, is characterized in that, described device also comprises:
User behavior determination module, for for each user behavior data, determines at least one user behavior that described user behavior data comprises;
User preferences value acquisition module, for inquiring about the corresponding relation between pre-stored user behavior and user preferences value, obtains described user preferences value corresponding at least one user behavior;
Weighted value determination module, for the playing duration ratio of having recommended multimedia resource described in accounting for according to the duration of each user behavior, for described each user behavior arranges weighted value;
User preferences degree score value computing module, for user preferences value and the weighted value corresponding according to described each user behavior, calculates described a plurality of user to the described user preferences degree score value of having recommended multimedia resource.
10. device according to claim 9, is characterized in that, described device also comprises:
User preferences value arranges module, for for each user behavior, for described user behavior, user preferences value is set in advance;
Memory module, for storing the corresponding relation between user behavior and user preferences value.
11. devices according to claim 8, is characterized in that, described device also comprises:
Receive user's determination module, for according to the user preferences degree score value of described multimedia resource to be recommended, determine a plurality of reception users of described multimedia resource to be recommended;
Multimedia resource sending module, for being sent to described multimedia resource to be recommended described a plurality of reception users' playback equipment.
12. devices according to claim 11, is characterized in that, described reception user determination module, at a plurality of user preferences degree score values corresponding to described multimedia resource to be recommended, is determined the user preferences degree score value that is greater than predetermined threshold value; To be greater than the user corresponding to user preferences degree score value of described predetermined threshold value, be defined as the reception user of described multimedia resource to be recommended.
13. devices according to claim 11, is characterized in that, described device also comprises:
Sensing data acquisition module, watches data for obtaining the user that the second sensor that described multimedia resource to be recommended is corresponding collects;
User behavior data acquisition module, watches data analysis to process for the user that described the second sensor is collected, and obtains a plurality of user behavior datas that described multimedia resource to be recommended is corresponding;
User preferences degree score value update module, for according to each user behavior data, upgrades the user preferences degree score value of described multimedia resource to be recommended;
Validity determination module, for according to the user preferences degree score value after upgrading, determines the validity of described multimedia resource to be recommended.
14. devices according to claim 8, it is characterized in that, the user that described user behavior data is collected according to first sensor watches data analysis to obtain, described in described first sensor is arranged on, recommended on a plurality of playback equipments of multimedia resource or near described a plurality of playback equipment, described user watches data at least to comprise user's audio, video data and user video depth data.
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