CN107948737A - The recommendation method and device of TV programme - Google Patents
The recommendation method and device of TV programme Download PDFInfo
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- CN107948737A CN107948737A CN201711148644.5A CN201711148644A CN107948737A CN 107948737 A CN107948737 A CN 107948737A CN 201711148644 A CN201711148644 A CN 201711148644A CN 107948737 A CN107948737 A CN 107948737A
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- 238000000034 method Methods 0.000 title claims abstract description 36
- 230000001815 facial effect Effects 0.000 claims abstract description 15
- 230000001960 triggered effect Effects 0.000 claims abstract description 13
- 238000012545 processing Methods 0.000 description 11
- 238000000605 extraction Methods 0.000 description 6
- 210000003128 head Anatomy 0.000 description 5
- 238000000354 decomposition reaction Methods 0.000 description 4
- 210000000887 face Anatomy 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 210000004709 eyebrow Anatomy 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010835 comparative analysis Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 230000008707 rearrangement Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/441—Acquiring end-user identification, e.g. using personal code sent by the remote control or by inserting a card
- H04N21/4415—Acquiring end-user identification, e.g. using personal code sent by the remote control or by inserting a card using biometric characteristics of the user, e.g. by voice recognition or fingerprint scanning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/4508—Management of client data or end-user data
- H04N21/4532—Management of client data or end-user data involving end-user characteristics, e.g. viewer profile, preferences
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/4661—Deriving a combined profile for a plurality of end-users of the same client, e.g. for family members within a home
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/482—End-user interface for program selection
- H04N21/4826—End-user interface for program selection using recommendation lists, e.g. of programs or channels sorted out according to their score
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Databases & Information Systems (AREA)
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Abstract
The invention discloses a kind of recommendation method and device of TV programme, wherein, the recommendation method of TV programme includes：When detecting that predetermined registration operation is triggered, at least one target facial image in predeterminable area is obtained；At least one target facial image is matched with the facial image stored in the face database pre-established；When successful match, the recommendation list of TV programme corresponding with the target facial image is obtained, and shows the TV programme in the recommendation list.Technical scheme can recognize that the target facial image for having watched TV programme, and the correspondence between the recommendation list and facial image of TV programme can be passed through, the recommendation list of target facial image and TV programme is associated, targetedly recommend TV programme for user, and the recommendation list of display of television programmes, so as to solve the problems, such as that the recommendation method of existing TV programme is in unification, meet individual demand of the user to TV programme.
Description
Technical Field
The embodiment of the invention relates to the technical field of intelligent televisions, in particular to a recommendation method and device of television programs.
Background
With the development of electronic technology, smart televisions have been widely found in people's lives. Various television programs have also appeared.
In actual life, different people often have different viewing habits, and even the viewing habits of each member in the same family are different. Even if the same person watches television programs, the favorite program types of the person are usually selected from a plurality of program types, and then the favorite television programs are selected. At present, recommendation lists of television programs of different televisions are mostly the same, and along with the continuous increase of programs, a user often needs to occupy a large amount of time for selecting favorite program types; moreover, the number of cable tv channels and tv programs in the prior art are various, and even if the user knows his watching habits, the user needs to switch for many times to select the tv programs he frequently watches, so that the current single tv program recommendation method cannot meet the personalized requirements of the user.
Disclosure of Invention
The invention provides a recommendation method and device for television programs, which solve the problem that the existing recommendation method for television programs is single, realize personalized recommendation of television programs and meet the requirements of users.
In a first aspect, an embodiment of the present invention provides a method for recommending a television program, where the method includes:
when the preset operation is detected to be triggered, acquiring at least one target face image in a preset area;
matching at least one target face image with a face image stored in a face database established in advance;
and when the matching is successful, acquiring a recommendation list of the television programs corresponding to the target face image, and displaying the television programs in the recommendation list.
Optionally, when the matching is successful, acquiring a recommendation list of a television program corresponding to the target face image, including:
and when two or more than two target face images are successfully matched, acquiring a recommendation list of the television program corresponding to the target face images according to a preset priority.
Optionally, when the matching is successful, acquiring a recommendation list of a television program corresponding to the target face image, including:
and when two or more than two target face images are successfully matched and at least two recommendation lists of the television programs corresponding to the target face images are obtained, obtaining the same television program in the at least two recommendation lists and generating a new recommendation list.
Further, before the obtaining of the recommendation list of the television program corresponding to the target face image, the method further includes:
acquiring a face image of a user and storing the face image into a face database;
generating a recommendation list of television programs according to the historical playing data of the user and/or user settings;
establishing a corresponding relation between the face image and the recommendation list; wherein,
the historical playing data comprises the type of the played program, the content of the program and/or the duration of the program.
Further, the method further comprises:
when the matching fails, storing the target face image into the face database, and recording the playing data of the television program corresponding to the target face image;
and generating a recommendation list of the television programs corresponding to the target face image according to the playing data.
In a second aspect, an embodiment of the present invention further provides an apparatus for recommending a television program, where the apparatus includes:
the acquisition module is used for acquiring at least one target face image in a preset area when the triggering of the preset operation is detected;
the matching module is used for matching at least one target face image with a face image stored in a face database established in advance;
and the display module is used for acquiring a recommendation list of the television programs corresponding to the target face image and displaying the television programs in the recommendation list when the matching is successful.
Optionally, the display module is configured to:
and when two or more than two target face images are successfully matched, acquiring a recommendation list of the television program corresponding to the target face images according to a preset priority.
Optionally, the display module is further configured to:
and when two or more than two target face images are successfully matched and at least two recommendation lists of the television programs corresponding to the target face images are obtained, obtaining the same television program in the at least two recommendation lists and generating a new recommendation list.
Further, the apparatus further comprises:
the face image storage module is used for acquiring a face image of a user and storing the face image into a face database before the recommendation list of the television program corresponding to the target face image is acquired;
the recommendation list generation module is used for generating a recommendation list of the television programs according to the historical playing data of the user and/or user settings; the historical playing data comprises the types, contents and/or duration of the played programs;
and the corresponding relation establishing module is used for establishing the corresponding relation between the face image and the recommendation list.
Further, the apparatus further comprises:
the playing data recording module is used for storing the target face image into the face database and recording the playing data of the television program corresponding to the target face image when the matching fails;
and the recommendation list recording module is used for generating a recommendation list of the television programs corresponding to the target face image according to the playing data.
According to the technical scheme of the embodiment of the invention, when the preset operation is detected to be triggered, the target face image in the preset area is obtained and is further matched with the face image stored in advance, so that whether a user corresponding to the target face image watches a television program or not can be identified; if the matching is successful, the user is shown to watch the television program, the target face image and the recommendation list of the television program can be associated through the corresponding relation between the recommendation list of the television program and the face image, the television program is recommended to the user in a targeted manner, and the recommendation list of the television program is displayed, so that the problem that the conventional recommendation method of the television program is single is solved, and the personalized requirements of the user on the television program are met.
Drawings
In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, a brief description is given below of the drawings used in describing the embodiments. It should be clear that the described figures are only views of some of the embodiments of the invention to be described, not all, and that for a person skilled in the art, other figures can be derived from these figures without inventive effort.
Fig. 1 is a flowchart illustrating a method for recommending a television program according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a method for recommending a television program according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a television program recommending apparatus according to a third embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a method for recommending a television program according to an embodiment of the present invention, where the method of the present embodiment may be executed by a television program recommending apparatus. As shown in fig. 1, the method specifically includes:
s110, when the preset operation is triggered, at least one target face image in the preset area is obtained.
For example, the preset operation may include an operation that the user triggers a preset key, such as a user turning on a television power key or a user pressing a designated key representing a recommended function; the preset operation can also comprise that a user inputs a voice control instruction, such as a voice instruction of 'recommending programs' spoken by the user; the preset operation may also be an operation of triggering a preset key and inputting a voice control instruction, and the like.
When the preset operation is triggered, the preset region may be detected first, and then the target face image in the preset region is acquired by the device for acquiring the target face image, where the preset region may be determined by the image acquisition device for acquiring the target face image, for example, when the target face image is acquired by using a camera, the preset region may be a viewing range of the camera. In order to ensure the quality of the acquired image, the equipment for detecting the preset area can adopt a focus-adjustable high-definition acquisition camera-shooting CCD image CCD sensor with ten-million pixel levels. In consideration of the fact that a plurality of persons may watch a television program at the same time, the number of the acquired target face images may be one, two or more.
When the preset operation is triggered, acquiring at least one target face image in a preset area, specifically, when the preset operation is triggered, detecting the preset area to acquire the position of a target object; then adjusting the position and the angle of the image acquisition device to acquire a target image containing a target object; and then extracting the characteristics of the obtained target image to obtain a target face image. It is understood that the target object may include one, two or more target persons, and accordingly, the target face image corresponding to the target object may be one, two or more.
And S120, matching at least one target face image with a face image stored in a face database established in advance.
Illustratively, a digital image sequence of a target face image can be obtained first, and an input original target face image is subjected to graying and illumination compensation preprocessing, so that the image quality is improved, and a grayscale image of the target face image is obtained; secondly, performing two-layer wavelet transformation on the obtained gray level image of the standardized target face image, respectively performing projection-based singular value decomposition feature extraction on the second-layer low-frequency approximate image and the second-layer horizontal high-frequency component, in order to further enhance the effectiveness of feature extraction, extracting facial structure regions of the target face image, such as facial structure regions of eyebrows, eyes, nose tips, mouths and the like, and respectively performing projection-based singular value decomposition feature extraction, wherein the number of extracted effective feature values can be respectively determined according to the contribution rate of each region to different faces; and then, matching each effective characteristic value of the extracted target face image with the effective characteristic value of the face image stored in the face database. The contribution rate of each region to different faces can be set according to empirical values, such as 1:2:1: 2.
And S130, when the matching is successful, acquiring a recommendation list of the television programs corresponding to the target face image, and displaying the television programs in the recommendation list.
Illustratively, the matching success may be that when the matching degree of the valid feature value of the target face image and the valid feature value of the face image stored in the face database satisfies a threshold condition, the matching is considered to be successful. The matching degree satisfying the threshold condition may be that the matching degree exceeds a preset threshold, such as 80% or 85%, and the specific value may be set according to an actual requirement, which is not limited herein.
Optionally, before obtaining the recommendation list of the television program corresponding to the target face image, the method may further include: acquiring a face image of a user and storing the face image into a face database; generating a recommendation list of television programs according to the historical playing data of the user and/or user settings; establishing a corresponding relation between the face image and the recommendation list; the historical playing data includes the type of the played program, the title of the program, the content of the program and/or the duration of the program.
For example, a local or cloud storage space may be configured for each new television in advance to store face image data, and a user may enter a face image of the user into a face database in advance, select a favorite program type of the user, and further select a television program concerned by the user, thereby generating a recommendation list of television programs, and associating the face image with the recommendation list. In order to reduce user operation, or when it is detected that the user plays the television program, automatically acquiring a face image of the user, storing the face image into a face database, further acquiring historical playing data of the user to generate a recommendation list of the television program, and using a corresponding relationship between the face image and the recommendation list.
In real life, there may be a case where multiple users watch television programs simultaneously, and when matching is successful, a recommendation list of the television program corresponding to the target face image is obtained, optionally including: and when two or more than two target face images are successfully matched, acquiring a recommendation list of the television program corresponding to the target face images according to a preset priority. Optionally, the determination of the priority may be that facial images corresponding to each user are weighted, a matching sequence is determined according to the weighted facial images, and then the priority is determined according to the matching sequence; alternatively, the recommendation lists are weighted in advance, and the priority of each recommendation list is determined.
In particular, when two or more acquired recommendation lists corresponding to a target facial image and at least two recommendation lists of television programs corresponding to the target facial image are acquired, the same television program in the at least two recommendation lists can be acquired to generate a new recommendation list.
It can be understood that the recommendation list may include a plurality of television programs, and in order to better meet the user requirements, the recommendation order of each television program may be determined according to the historical playing records of the user and the attribute information of the television programs. The attribute information of the television program may include a playing time, a playing frequency, a playing duration, and/or the like of the television program.
According to the technical scheme of the embodiment, when the preset operation is triggered, the target face image in the preset area is obtained and is further matched with the face image stored in advance, so that whether the user corresponding to the target face image watches the television program or not can be identified; if the matching is successful, the user is shown to watch the television program, the target face image and the recommendation list of the television program can be associated through the corresponding relation between the recommendation list of the television program and the face image, the television program is recommended to the user in a targeted manner, and the recommendation list of the television program is displayed, so that the problem that the conventional recommendation method of the television program is single is solved, and the personalized requirements of the user on the television program are met.
Example two
Fig. 2 is a schematic flow chart of a television program recommendation method according to a second embodiment of the present invention, as shown in fig. 2, on the basis of the foregoing embodiment, in this embodiment, optionally, obtaining a recommendation list of a television program corresponding to the target face image when matching is successful includes: and when two or more than two target face images are successfully matched and at least two recommendation lists of the television programs corresponding to the target face images are obtained, obtaining the same television program in the at least two recommendation lists and generating a new recommendation list.
On the basis of the above technical solution, the television program recommendation method according to the embodiment of the present invention further includes: when the matching fails, storing the target face image into the face database, and recording the playing data of the television program corresponding to the target face image; and generating a recommendation list of the television programs corresponding to the target face image according to the playing data.
As shown in fig. 2, the television program recommendation method may specifically include:
s201, when the preset operation is triggered, at least one target face image in a preset area is obtained.
Illustratively, when the preset operation is triggered, a scene video in front of the television can be acquired by connecting a million-pixel-level high-definition acquisition camera charge-coupled device image CCD sensor with an adjustable focal length and a set top box through wired or wireless communication and fixedly placing the CCD sensor on the top end of the television so as to acquire at least one target face image in a preset area.
Taking a family television as an example, specifically, if a family member needs to watch television, when the member opens a special set top box and a camera device, a head portrait of the member enters a high-definition acquisition camera CCD sensor, a high-definition acquisition camera module detects a human face image target and a human face head portrait position of a person entering the acquisition camera CCD sensor, and the high-definition acquisition camera module marks a person head portrait in a video acquisition picture by a red square frame, moves along with the movement of the person head portrait and can automatically adjust a focal length; the video data is collected through a collection camera video coding unit connected with the high-definition collection camera CCD sensor, a real-time coding video monitoring image is obtained, and the collected camera video with the head image of the person is coded into a transmittable media code stream which is transmitted to the video processing signal module through a serial bus; the video processing signal module is used for carrying out compressed video decoding on the transmitted media code stream data to obtain a digital image sequence, processing an input original image to obtain a gray image, and transmitting the gray image obtained by processing of the video processing signal module to the central processing unit module; the central processing unit module is a chip integrated unit module which adopts Haisi semiconductor company or TI company and has video image processing, the chip has a face image comparison function, and can detect a received image sequence in the central processing unit module, judge whether the image sequence contains face information or not, and identify the face.
S202, matching at least one target face image with a face image stored in a face database established in advance.
Optionally, the user first uses the camera device to collect a face image, stores the face image in a register inside the camera device as a face database, and simultaneously transmits all the face images to the set-top box to be matched with the target face image.
In this embodiment, at least one of the target face images is matched with a face image stored in a pre-established face database, specifically, two-layer wavelet transformation may be performed on the obtained standardized face grayscale image, and the above projection-based singular value decomposition feature extraction may be performed on the second-layer low-frequency approximate image and the second-layer horizontal high-frequency component, respectively. In order to further enhance the effectiveness of feature extraction, algebraic features of 4 positions of eyebrows, eyes, nose tips and mouths are selected as local features of the face, namely projection-based singular value decomposition feature extraction is respectively carried out on the 4 regions, and the extracted number is determined according to the contribution rate of the 4 positions to different faces in a ratio of 1:2:1: 2. And finally, arranging all singular value features from large to small in sequence, and extracting the first 16 singular values as final effective feature values. The central processing unit module searches, matches and compares the 16 effective characteristic values of the extracted face image with effective characteristic value data templates of face images of known family members stored in a face image database.
S203, judging whether the matching is successful, if so, executing S204; if not, go to S205.
If the effective characteristic value data template of the face image of the known family member in the face image database of the search matching comparison result is compared and matched with the 16 effective characteristic value numerical values of the extracted face image or the similarity is higher, if the matching degree is within a preset range or exceeds a preset threshold value and the like, the matching is successful.
S204, judging whether the number of the successfully matched target face images is more than one, if so, executing S206; if not, go to step S208.
Since there may be a case where multiple persons watch a television program at the same time and all the persons are successfully matched, after all the target face images are matched, it is necessary to determine whether the number of the successfully matched target face images is greater than one. When the number of the target face images is more than one, namely the number of the successfully matched target face images is two or more, the recommendation lists of the television programs corresponding to the target face images can be respectively obtained.
S205, storing the target face image into the face database, recording playing data of the television program corresponding to the target face image, and executing S207.
If the matching fails, it is indicated that the target face image does not exist in the face images in the current face database, that is, the face information of the current user and the user is not stored, at this time, in order to improve the experience of the user when watching again, the target face image may be stored in the face database, and simultaneously, the playing data of the television program corresponding to the target face image is recorded, so as to generate a television program recommendation list of the user for the user.
S206, judging whether the number of the acquired recommendation lists of the television programs corresponding to the target face images is more than one; if not, executing S208; if yes, S209 is performed.
And S207, generating a recommendation list of the television program corresponding to the target face image according to the playing data, and executing S210.
Illustratively, a customized set top box can be customized for a user, and the set top box can automatically generate a television program watching threshold database corresponding to different members according to the time length and the watching frequency of watching different television programs when the different members of a family watch television programs. For example, if the watching time length and the watching frequency of the television program watched by dad in the family member are the highest, the special set top box stores the television program information with the highest watching threshold; if the watching threshold value of the time length and the watching frequency of the entertainment or comprehensive television programs watched by the mom among the family members is the highest, the special set top box stores the television program information with the highest watching threshold value; if the watching threshold value of the time length and the watching frequency of the television programs of the animation type or the children type watched by the children in the family members is the highest, the special set top box stores the television program information with the highest watching threshold value.
Further, a corresponding relation between the recommendation list and the face image in the face database can be established. It should be noted that the correspondence between the recommendation list and the face images in the face database may be a one-to-one relationship or a one-to-many relationship.
And S208, acquiring a recommendation list of the television program corresponding to the target face image, and executing S210.
When only one target face image is successfully matched with the face image in the face database, the central processing unit module calls the related information of the known family member corresponding to the target face image and feeds the related information back to the special set top box, and the special set top box compares and analyzes the information in the viewing threshold database after receiving the feedback information. For example, if the result of the comparative analysis is dad among the family members, the customized set top box automatically searches all television programs of news or sports and generates a list for dad to select; if the comparison and analysis result is that of the mom in the family members, the special set top box automatically searches all entertainment or comprehensive television programs and generates a list for the mom to select; if the comparison and analysis result is that the children are in the family members, the special set top box automatically searches all television programs of the animation class or the children class and generates a list for the children to select.
S209, acquiring the same television programs in at least two recommendation lists to generate a new recommendation list, and executing S210.
When two or more recommendation lists exist, the same television program type or the same television program in each recommendation class list can be further screened out optionally, and a new recommendation list is generated to meet the requirement of a plurality of users for watching together.
And S210, displaying the television programs in the recommendation list.
When the recommendation is acquired, each television program in the recommendation list is displayed. Specifically, the history playing record of each television program in the recommendation list may be obtained, and the recommendation order of each television program may be determined according to the history playing record, or the recommendation order of each television program may also be determined according to the history playing record and the current time. For example, the priority display of the television programs that have not been played back in the recommendation list may be obtained. And when a plurality of television programs which are not played completely exist, determining that the television programs to be played are preferentially displayed according to the current time. For example, when a user simultaneously follows a plurality of dramas and the play times are different, the play time of each of the dramas in the history play record may be determined to be preferentially displayed.
In order to improve the user experience, the television programs are weighted according to the historical playing records of the user, sorted according to the weighted values of the weighted television programs, and the sorted television programs are displayed.
According to the technical scheme, the situation that multiple persons watch television programs together is fully considered, when the recommendation lists of two or more different television programs are obtained simultaneously, the same television programs in at least two recommendation lists are obtained, and a new recommendation list is generated, so that the television programs which are liked together are recommended for the user, the recommendation method of the television programs is further optimized, the recommendation of the television programs is more intelligent, and the user experience is greatly improved.
EXAMPLE III
Fig. 3 is a block diagram of a television program recommending method and apparatus according to a third embodiment of the present invention, where the apparatus may be implemented in hardware and/or software, and generally, the method of this embodiment may be implemented by a terminal and a server in cooperation. As shown in fig. 3, the television program recommending apparatus of the present embodiment includes: an acquisition module 310, a matching module 320, and a display module 330.
The acquiring module 310 is configured to acquire at least one target face image in a preset region when it is detected that a preset operation is triggered; a matching module 320, configured to match at least one of the target face images with a face image stored in a pre-established face database; and the display module 330 is configured to, when matching is successful, obtain a recommendation list of television programs corresponding to the target face image, and display the television programs in the recommendation list.
According to the technical scheme of the embodiment, when the preset operation is triggered, the target face image in the preset area is obtained and is further matched with the face image stored in advance, so that whether the user corresponding to the target face image watches the television program or not can be identified; if the matching is successful, the user is shown to watch the television program, the target face image and the recommendation list of the television program can be associated through the corresponding relation between the recommendation list of the television program and the face image, the television program is recommended to the user in a targeted manner, and the recommendation list of the television program is displayed, so that the problem that the conventional recommendation method of the television program is single is solved, and the personalized requirements of the user on the television program are met.
On the basis of the above embodiment, the display module may be configured to:
and when two or more than two target face images are successfully matched, acquiring a recommendation list of the television program corresponding to the target face images according to a preset priority.
On the basis of the above embodiments, the display module may further be configured to:
and when two or more than two target face images are successfully matched and at least two recommendation lists of the television programs corresponding to the target face images are obtained, obtaining the same television program in the at least two recommendation lists and generating a new recommendation list.
On the basis of the above embodiments, the apparatus may further include: the system comprises a face image storage module, a recommendation list generation module and a corresponding relation establishment module.
The face image storage module is used for acquiring a face image of a user and storing the face image into a face database before acquiring the recommendation list of the television program corresponding to the target face image; the recommendation list generation module is used for generating a recommendation list of the television programs according to the historical playing data of the user and/or user settings; the historical playing data comprises the types, contents and/or duration of the played programs; and the corresponding relation establishing module is used for establishing the corresponding relation between the face image and the recommendation list.
On the basis of the above embodiments, the apparatus further includes: a playing data recording module and a recommendation list recording module.
The playing data recording module is used for storing the target face image into the face database and recording the playing data of the television program corresponding to the target face image when the matching fails; and the recommendation list recording module is used for generating a recommendation list of the television programs corresponding to the target face image according to the playing data.
The device can execute the methods provided by the first embodiment and the second embodiment of the invention, and has corresponding functional modules and beneficial effects for executing the methods. For details of the technology that are not described in detail in this embodiment, reference may be made to the methods provided in the first embodiment and the second embodiment of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A method for recommending television programs, comprising:
when the preset operation is detected to be triggered, acquiring at least one target face image in a preset area;
matching at least one target face image with a face image stored in a face database established in advance;
and when the matching is successful, acquiring a recommendation list of the television programs corresponding to the target face image, and displaying the television programs in the recommendation list.
2. The method of claim 1, wherein obtaining a recommendation list of television programs corresponding to the target facial image when the matching is successful comprises:
and when two or more than two target face images are successfully matched, acquiring a recommendation list of the television program corresponding to the target face images according to a preset priority.
3. The method of claim 1, wherein obtaining a recommendation list of television programs corresponding to the target facial image when the matching is successful comprises:
and when two or more than two target face images are successfully matched and at least two recommendation lists of the television programs corresponding to the target face images are obtained, obtaining the same television program in the at least two recommendation lists and generating a new recommendation list.
4. The method of claim 1, further comprising, prior to said obtaining a recommendation list of television programs corresponding to the target face image:
acquiring a face image of a user and storing the face image into a face database;
generating a recommendation list of television programs according to the historical playing data of the user and/or user settings;
establishing a corresponding relation between the face image and the recommendation list; wherein,
the historical playing data comprises the type of the played program, the content of the program and/or the duration of the program.
5. The method of any of claims 1-4, further comprising:
when the matching fails, storing the target face image into the face database, and recording the playing data of the television program corresponding to the target face image;
and generating a recommendation list of the television programs corresponding to the target face image according to the playing data.
6. An apparatus for recommending television programs, comprising:
the acquisition module is used for acquiring at least one target face image in a preset area when the triggering of the preset operation is detected;
the matching module is used for matching at least one target face image with a face image stored in a face database established in advance;
and the display module is used for acquiring a recommendation list of the television programs corresponding to the target face image and displaying the television programs in the recommendation list when the matching is successful.
7. The apparatus of claim 6, wherein the display module is configured to:
and when two or more than two target face images are successfully matched, acquiring a recommendation list of the television program corresponding to the target face images according to a preset priority.
8. The apparatus of claim 6, wherein the display module is further configured to:
and when two or more than two target face images are successfully matched and at least two recommendation lists of the television programs corresponding to the target face images are obtained, obtaining the same television program in the at least two recommendation lists and generating a new recommendation list.
9. The apparatus of claim 6, further comprising:
the face image storage module is used for acquiring a face image of a user and storing the face image into a face database before the recommendation list of the television program corresponding to the target face image is acquired;
the recommendation list generation module is used for generating a recommendation list of the television programs according to the historical playing data of the user and/or user settings; the historical playing data comprises the types, contents and/or duration of the played programs;
and the corresponding relation establishing module is used for establishing the corresponding relation between the face image and the recommendation list.
10. The apparatus of any of claims 6-9, further comprising:
the playing data recording module is used for storing the target face image into the face database and recording the playing data of the television program corresponding to the target face image when the matching fails;
and the recommendation list recording module is used for generating a recommendation list of the television programs corresponding to the target face image according to the playing data.
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