CN104954820A - Program recommending method and device - Google Patents
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- CN104954820A CN104954820A CN201510329844.5A CN201510329844A CN104954820A CN 104954820 A CN104954820 A CN 104954820A CN 201510329844 A CN201510329844 A CN 201510329844A CN 104954820 A CN104954820 A CN 104954820A
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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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25891—Management of end-user data being end-user 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
- H04N21/41—Structure of client; Structure of client peripherals
- H04N21/422—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
- H04N21/42204—User interfaces specially adapted for controlling a client device through a remote control device; Remote control devices therefor
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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
- H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
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- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
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- Human Computer Interaction (AREA)
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- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
The invention discloses a program recommending method and device. The method is used at a server side, and comprises the following steps of receiving historical watch information, collected by a TV remote control terminal, of a user; determining the fondness information of the user on programs according to the historical watch information; predicting the user fondness degree of the programs watched by the user according to the fondness information of the user on the programs; determining programs recommended to the user according to the predicated user fondness degree of the programs watched by the user; sending the description information of the programs recommended to the user to the TV remote control terminal. The method and the device have the advantages that on the basis of personalized historical watch information of the user, the corresponding programs are recommended to the user according to the predicating result; the predicating result is generated on the basis of the personalized watch information of the user, so that the predicting result is closely associated with the program fondness of the user; the final program recommending precision is higher; the use experience of the user is improved.
Description
Technical field
The disclosure relates to intelligent terminal technical field, particularly relates to recommend method and the device of program.
Background technology
Along with intelligent television box, popularizing of intelligent television, various mobile TV remote controller App develops rapidly like the mushrooms after rain.As remote control great master, changeable remote control etc., support to use mobile phone remote television set, Set Top Box, the equipment such as TV box.Except handset remote controller function, the function such as these App are also built-in list of television programmes, program are guessed in real time, prize drawing of voting, excellent stage photo, star's Eight Diagrams, behind-the-scene footage.
Summary of the invention
Disclosure embodiment provides recommend method and the device of program.Described technical scheme is as follows:
According to the first aspect of disclosure embodiment, provide a kind of recommend method of program, for server side, comprising:
Receive the historical viewing information of the user that TV remote terminal gathers;
According to described historical viewing information, determine the preference information of user to program;
According to the preference information of described user to program, the user preferences degree of the program for user's viewing is predicted;
According to the user preferences degree of the program for user's viewing doped, the program that true directional user recommends;
The descriptor of the described program to user's recommendation is sent to TV remote terminal.
The historical viewing information of the user that server gathers according to hommization viewing data and the TV remote terminal of user, determine the preference information of user to various program, then according to the user that determines to the preference information of program, the user preferences degree of the program for user's viewing is predicted, then corresponding program is recommended according to predicting the outcome to user, the result of such prediction watches data generation based on the personalization of user, therefore with the hobby close association of the program of user, the recommendation accuracy of final program is higher, improves the experience of user.
In one embodiment, the historical viewing information of the user that TV remote terminal gathers, comprising: the viewing duration information of program label information and history program.
Use the viewing duration information of program label information and history program to be objective, the information that quantizes of the program based on history viewing, be conducive to determining the preference information of user to program exactly.
In one embodiment, described program label information comprises one or more tagged items;
Described according to described historical viewing information, determine the preference information of user to program, comprising:
According to viewing duration information and the described program label information of history program, count total viewing duration of all history programs corresponding to each described tagged items;
According to total viewing duration of all history programs corresponding to each described tagged items, determine the preference information of user to the program corresponding to each described tagged items.
Utilize program label information and the closely-related viewing duration information of programme content to add up, determine the hobby of user, the real demand of laminating user, makes recommendation results more accurate and effective.
In one embodiment, the preference information of user to the program corresponding to each described tagged items comprises: the hobby score value that the program corresponding to each described tagged items is corresponding; Described hobby score value equals described total viewing duration, or be not equal to described total viewing duration but with always watch duration positive correlation.
Giving and determine the algorithm realization of user to the preference information of the program corresponding to each described tagged items, making user can by being quantized into numeral and more accurate to the preference information of the program corresponding to each described tagged items.
In one embodiment, described according to the preference information of user to program, the user preferences degree of the program for user's viewing is predicted, comprising: according to the preference information of described user to program, calculate the user preferences degree value of the program for user's viewing; And according to the size of described user preferences degree value, the program for user's viewing is sorted;
The user preferences degree of the program for user's viewing that described basis is determined, the program that true directional user recommends, comprise: according to the result of user preferences degree value descending, the program of the predetermined number using the program the highest from user preferences degree value is as the program recommended.
In one embodiment, described according to described preference information, calculate the user preferences degree value of the program for user's viewing, comprising:
Parse for each tagged items corresponding to each program of user's viewing respectively;
For described each program for user's viewing, the hobby score value that described in corresponding to described each program for user's viewing, each tagged items is corresponding is weighted, and obtains the user preferences degree value of described each program for user's viewing.
Provide the algorithm of concrete user preferences degree value, make execution mode variation.
According to the second aspect of disclosure embodiment, provide a kind of recommend method of program, for TV remote end side, comprising:
Gather the historical viewing information of user;
Send described historical viewing information to server;
The programme information of the recommendation that reception server returns to user's display, the programme information of described recommendation is that server is determined according to described historical viewing information.
In one embodiment, described method also comprises:
When the program of described recommendation is the program play in following Preset Time, according to the broadcast time of the program of described recommendation, before the predetermined time period of the described broadcast time of the program of described recommendation, send the prompting message of broadcasting to user.
This embodiment can send the broadcast prompting of the program of recommendation in time to user, improve the experience of user.
According to the third aspect of disclosure embodiment, a kind of recommendation apparatus of program is provided, comprises:
Receiver module, for receiving the historical viewing information of the user that TV remote terminal gathers;
Determination module, for according to described historical viewing information, determines the preference information of user to program;
Prediction module, for according to the preference information of described user to program, predicts the user preferences degree of the program for user's viewing;
Recommending module, for the user preferences degree according to the program for user's viewing doped, the program that true directional user recommends;
Sending module, for sending to TV remote terminal by the descriptor of the described program to user's recommendation.
In one embodiment, the historical viewing information of the user that TV remote terminal gathers, comprising: the viewing duration information of program label information and history program.
Described determination module, comprising:
Statistics submodule, for according to the viewing duration information of history program and described program label information, counts total viewing duration of all history programs corresponding to each described tagged items;
Determine submodule, for the total viewing duration according to all history programs corresponding to each described tagged items, determine the preference information of user to the program corresponding to each described tagged items.
In one embodiment, described user, to the preference information of the program corresponding to each described tagged items, comprising: the hobby score value that the program corresponding to each described tagged items is corresponding; Described hobby score value equals described total viewing duration, or be not equal to described total viewing duration but with always watch duration positive correlation.
In one embodiment,
Described prediction module, comprising: calculating sub module and sorting sub-module;
Described calculating sub module, for according to the preference information of described user to program, calculates the user preferences degree value of the program for user's viewing;
Described sorting sub-module, sorts to the program for user's viewing for the size according to described user preferences degree value;
Described recommending module, comprising: recommend submodule, and for the result according to the descending of user preferences degree value, the program of the predetermined number using the program the highest from user preferences degree value is as the program recommended.
In one embodiment, described calculating sub module,
Described calculating sub module, for parsing for each tagged items corresponding to each program of user's viewing respectively; For described each program for user's viewing, the hobby score value that described in corresponding to described each program for user's viewing, each tagged items is corresponding is weighted, and obtains the user preferences degree value of described each program for user's viewing.
In one embodiment, described to comprise in following program for the program of user's viewing one or more: for the program of user's program request in the program play in following Preset Time, request program storehouse.
According to the fourth aspect of disclosure embodiment, a kind of recommendation apparatus of program is provided, comprises:
Acquisition module, for gathering the historical viewing information of user;
Sending module, for sending described historical viewing information to server;
Receiver module, the programme information of the recommendation returned for reception server to user's display, the programme information of described recommendation is that server is determined according to described historical viewing information.
In one embodiment, said apparatus also comprises: prompting module, during for being the program for user's viewing when the program of described recommendation, according to the broadcast time of the program of described recommendation, before the predetermined time period of the described broadcast time of the program of described recommendation, send the prompting message of broadcasting to user.
The technical scheme that embodiment of the present disclosure provides can comprise following beneficial effect:
Technique scheme, the historical viewing information of the user that server can gather according to hommization viewing data and the TV remote terminal of user, determine the preference information of user to various program, then according to the user that determines to the preference information of program, the user preferences degree of the program for user's viewing is predicted, then for the user preferences degree of the program of user's viewing, the program that true directional user recommends, the descriptor of program user recommended sends to TV remote terminal, result due to the prediction of the user preferences degree to the program for user's viewing watches data generation based on the personalization of user, therefore with the hobby close association of the program of user, the recommendation accuracy of final program is higher, improve the experience of user.
Should be understood that, it is only exemplary and explanatory that above general description and details hereinafter describe, and can not limit the disclosure.
Accompanying drawing explanation
Accompanying drawing to be herein merged in specification and to form the part of this specification, shows embodiment according to the invention, and is used from specification one and explains principle of the present invention.
Fig. 1 is the network architecture diagram of the recommend method of program according to an exemplary embodiment.
Fig. 2 is the flow chart of recommend method at server side of program according to an exemplary embodiment.
Fig. 3 is the flow chart of the step S22 according to an exemplary embodiment.
Fig. 4 be according to an exemplary embodiment according to the preference information of described user to program, calculate the flow chart of user preferences degree value step of the program for user's viewing.
Fig. 5 be program according to an exemplary embodiment recommend method TV remote end side flow chart.
Fig. 6 is a kind of block diagram of the recommendation apparatus of program according to an exemplary embodiment.
Fig. 7 is the block diagram of the determination module 602 according to an exemplary embodiment.
Fig. 8 is the block diagram of the prediction module 603 according to an exemplary embodiment.
Fig. 9 is the block diagram of the recommending module 604 according to an exemplary embodiment.
Figure 10 is the another kind of block diagram of the recommendation apparatus of program according to an exemplary embodiment.
Figure 11 is the another kind of block diagram of the recommendation apparatus of program according to an exemplary embodiment.
Figure 12 is the another kind of block diagram of the recommendation apparatus of program according to an exemplary embodiment.
Embodiment
Here will be described exemplary embodiment in detail, its sample table shows in the accompanying drawings.When description below relates to accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawing represents same or analogous key element.Execution mode described in following exemplary embodiment does not represent all execution modes consistent with the present invention.On the contrary, they only with as in appended claims describe in detail, the example of apparatus and method that aspects more of the present invention are consistent.
The recommend method of the program that disclosure embodiment provides and device, as shown in Figure 1, relate to server and TV remote terminal two ends, TV remote terminal is responsible for the historical viewing information of the user gathered, and the historical viewing information of gathered user is sent to server, the historical viewing information of the user that network in charge gathers according to TV remote terminal, the user preferences degree of the program for user's viewing is predicted, and according to predicting the outcome, to user's recommended program.
When implementing, the mode that TV remote terminal can adopt the softwares such as such as handset remote controller APP or other software and hardwares to combine, and, communication mode between TV remote terminal and server can adopt the communication mode in correlation technique, the mode of such as wireless communication, does not limit at this.
Fig. 2 is the flow chart of the recommend method of a kind of program according to an exemplary embodiment, and as shown in Figure 2, the recommend method of this program is used for server side, comprises the following steps S21-S24:
In the step s 21, the historical viewing information of the user that TV remote terminal gathers is received;
In step S22, according to historical viewing information, determine the preference information of user to program;
In step S23, according to the preference information of user to program, the user preferences degree of the program for user's viewing is predicted;
In step s 24 which, according to the user preferences degree of the program for user's viewing doped, the program that true directional user recommends;
In step s 25, the descriptor of the program recommended to user is sent to TV remote terminal.
In above-mentioned S21-S25, for the program of user's viewing, can be one or more in following program: for the program of user's program request in the program play in following Preset Time, request program storehouse.
In one embodiment, the program that the program play in following Preset Time can be TV station, broadcasting station, live website (such as network direct broadcasting website etc.) etc. are play in following Preset Time, such as following program will play for a week etc.
Request program storehouse, comprise the content library that the main bodys such as various intelligent terminal, server provide, these content library can be play according to the selection of user, in such a scenario, can recommend him may interested program to user, promote user's experience.
Disclosure embodiment provides the recommend method of above-mentioned program, the historical viewing information of the user that server gathers according to hommization viewing data and the TV remote terminal of user, determine the preference information of user to various program, then according to the user that determines to the preference information of program, the user preferences degree of the program for user's viewing is predicted, then corresponding program is recommended according to predicting the outcome to user, the result of such prediction watches data generation based on the personalization of user, therefore with the hobby close association of the program of user, the recommendation accuracy of final program is higher, improve the experience of user.
Respectively above steps is described in detail below.
In the step s 21, the historical viewing information of the user that TV remote terminal gathers, can comprise: the viewing duration information of program label information and history program.
In one embodiment, program label information namely with some relevant informations of program, for example, program label information can comprise one or more tagged items.
In one embodiment, one or more tagged items can be one or more in following information: the regional information of the type information of program, the actor information of program, program.
The type information of program is relevant to programme content, and such as program can be divided into variety show, talent competition, movie and television play program, animation program etc., and concrete mode classification is various, does not limit at this.
The actor information of program can be such as the name etc. of the main performing art performer occurred in program.
The regional information of program, such as can country involved by program or regional information, such as domestic, Hong Kong and Taiwan, Japan and Korea S, America and Europe etc.
Certainly, disclosure embodiment is not limited to the above-mentioned every tagged items enumerated, and can reflect the information of certain aspect characteristic of program, will not enumerate at this.
Correspondingly, in step S22, as shown in Figure 3, according to described historical viewing information, determine the preference information of user to program, comprise the steps S31-S32:
In step S31, according to viewing duration information and the described program label information of history program, count total viewing duration of all history programs corresponding to each described tagged items.
In step s 32, according to total viewing duration of all history programs corresponding to each described tagged items, the preference information of user to the program corresponding to each described tagged items is determined.
Program label information often more than one, like this, can respectively according to each, statistics meets total viewing duration of this all programs respectively, for example, can counting user A to total viewing duration of the program of this class of variety, or can counting user A be total viewing duration of the program of B to featured performer, etc.
After statistics, can generate corresponding tables of data, the example of a tables of data is as following table 1, and in Table 1, the unit of data is hour:
Table 1
| Variety | Select-elite | Suspense | …… | Performer A | Performer B | …… | Continent | Hong Kong and Taiwan | Japan and Korea S | |
| User A | 3.2 | 5.5 | 0.4 | 6.2 | 7.3 | 10.4 | 2.3 | |||
| User B | ||||||||||
| …… |
As can be seen from Table 1, first row is the mark of user, and the first row is the various tagged items of program, row with arrange intersect i.e. this user for the total viewing duration of all programs meeting this tagged items.Further, along with the increasing of data volume of gathered user's historical viewing information, the data in above table are more close to the users real demand, and final program accuracy of recommending is higher.
Certainly, above table 1 is only the signal of an example.
In step s 32, user is to the preference information of the program corresponding to each described tagged items, comprise: the hobby score value that the program corresponding to each described tagged items is corresponding, hobby score value can equal always to watch duration, although or directly do not equal always watch duration and always watch duration positive correlation.
In other words, utilize above-mentioned statistics, can be in several ways, obtain the preference information of user to the program corresponding to each tagged items, such as, directly use the total viewing duration under every tagged items, as the preference information of user to the program corresponding to each tagged items, also these can be utilized always to watch duration, and the program corresponding to every tagged items is marked, certainly, total viewing duration is longer, its score value is higher, otherwise its score value is lower.
In one embodiment, in step S23, according to the preference information of user to program, the user preferences degree of the program for user's viewing is predicted, can perform as following step:
According to the preference information of described user to program, calculate the user preferences degree value of the program for user's viewing; And according to the size of described user preferences degree value, the program for user's viewing is sorted;
Sequence can ascending order mode or descending mode be sorted, and disclosure embodiment does not limit this.
In one embodiment, in step s 24 which, according to the user preferences degree of the program for user's viewing determined, the program that true directional user recommends, such as, can perform as following step:
According to the result of user preferences degree value descending, the program of the predetermined number using the program the highest from user preferences degree value is as the program recommended.
For example, during descending, using first three program of user preferences degree value as the program recommended to user.
Mode when ascending order can also be adopted to arrange, now can from last program forward several three programs as the program recommended to user.
In one embodiment, according to the preference information of described user to program, calculate the user preferences degree value of the program for user's viewing, as shown in Figure 4, can perform as following step S41-S42:
In step S41, parse for each tagged items corresponding to each program of user's viewing respectively;
Such as following certain program that will play is certain popular variety show, then the tagged items parsing this program is as follows: the type of program is variety, the performer of program is performer A, and the region of program is Japan and Korea S.
In step S42, for described each program for user's viewing, the hobby score value corresponding to each tagged items that each program for user's viewing is corresponding is weighted, and obtains the user preferences degree value of each program for user's viewing.
Or for above-mentioned example, according to the preference information of the user come out user's historical viewing data to program, search the score value that program corresponding to each tagged items is corresponding, such as this corresponding score value of variety show is 5, this corresponding scoring of performer A is 4, this corresponding scoring of Japan and Korea S is 6, then calculate according to the every weighted value pre-set, suppose that every weighted value is all equal, then the score value of this program is finally: 5*1/3+4*1/3+6*1/3=5.Certainly, weighted value also can select different values according to disparity items, does not limit at this.
Also has kind of a mode, namely under each tagged items in direct use table 1, total viewing duration of this program calculates as score value, still suppose that every weighted value is all equal, namely this corresponding score value of variety show watches that total duration is 5.4, namely to watch total duration be 4.2 to this corresponding scoring of performer A, namely this corresponding scoring of Japan and Korea S watches total duration is 6.6, suppose that every weighted value is all equal, then the score value of this program is finally: 5.4*1/3+4.2*1/3+6.6*1/3=5.4.
Based on identical inventive concept, Fig. 5 is the flow chart of the recommend method of a kind of program according to an exemplary embodiment, and as shown in Figure 5, the method is used for TV remote end side, comprises the following steps S51-S53:
In step s 51, the historical viewing information of user is gathered;
In step S52, send historical viewing information to server;
In step S53, the programme information of the recommendation that reception server returns to user's display, the programme information of recommendation is that server is determined according to described historical viewing information.
In order to better for user provides the programme information of recommendation, outside above-mentioned S51-S53 step, following step can also be performed:
When the program recommended is the program play in following Preset Time, according to the broadcast time of the program of described recommendation, before the predetermined time period of the described broadcast time of the program of described recommendation, send the prompting message of broadcasting to user.
The recommend method of the above-mentioned program that disclosure embodiment provides is described with an example below.
In this example, in advance TV programme is stamped all kinds label (such as variety, select-elite, suspense etc.), featured performer, region (continent, Hong Kong and Taiwan, America and Europe, Japan and Korea S etc.).
User uses mobile phone A pp as TV remote controller, mobile phone A pp can collect the viewing duration of the TV programme that this user sees, the data of collection are returned to server simultaneously, can store at server end one is watched TV programme duration table about user, as above the content of table 1.
As aforementioned, in table 1, every a line is the television-viewing record of a user, and each cell represents the duration of this user viewing with the program of this type of label, performer or region.The TV programme of this user of the longer expression of viewing time to such program, this performer or this region is more liked.
When recommending, server first can obtain the following TV programme will play for a week of this user by mobile phone A pp, according to the label of each TV programme, performer, data corresponding in look-up table 1 are carried out in region, the label of such as TV programme A is select-elite, host (i.e. performer) is performer A, region is continent, then obtain according to table, user A is 5.5+6.2+10.4=22.1 to the degree of liking of TV programme A, each TV programme being about to play is according to after according to said method calculating, degree of liking according to user sorts, then the highest front 5 television program recommendations of the degree of liking of user are returned to user, and utilize mobile phone A pp to remind before play-out user.
Following is disclosure device embodiment, may be used for performing disclosure embodiment of the method.
Following apparatus embodiment and embodiment of the method are based on same inventive concept, and therefore, the enforcement of device embodiment see the enforcement of embodiment of the method, can repeat part and repeat no more.
Fig. 6 is the block diagram of the recommendation apparatus of a kind of program according to an exemplary embodiment, and this device can realize becoming the some or all of of electronic equipment by software, hardware or both combinations.As shown in Figure 6, the recommendation apparatus of this program comprises:
Receiver module 601, is configured to the historical viewing information receiving the user that TV remote terminal gathers.
Determination module 602, is configured to according to described historical viewing information, determines the preference information of user to program.
Prediction module 603, is configured to according to the preference information of described user to program, predicts the user preferences degree of the program for user's viewing.
Recommending module 604, is configured to the user preferences degree according to the program for user's viewing doped, the program that true directional user recommends.
Sending module 605, is configured to the descriptor of the described program to user's recommendation to send to TV remote terminal.
In one embodiment, the historical viewing information of the user that TV remote terminal gathers, comprising: the viewing duration information of label information and history program.
In one embodiment, label information comprises one or more tagged items.
Tagged items comprises following one or more: the regional information of the type information of program, the actor information of program, program.
Above-mentioned determination module 602, as shown in Figure 7, comprising:
Statistics submodule 6021 is configured to viewing duration information according to history program and described program label information, counts total viewing duration of all history programs corresponding to each described tagged items;
Determine that submodule 6022 is configured to the total viewing duration according to all history programs corresponding to each described tagged items, determine the preference information of user to the program corresponding to each described tagged items.
In one embodiment, user, to the preference information of the program corresponding to each described tagged items, comprising: the hobby score value that the program corresponding to each described tagged items is corresponding; Described hobby score value equals described total viewing duration, or be not equal to described total viewing duration but with always watch duration positive correlation.
In one embodiment, above-mentioned prediction module 603, as shown in Figure 8, comprising: calculating sub module 6031 and sorting sub-module 6032;
Calculating sub module 6031 is configured to according to the preference information of described user to program, calculates the user preferences degree value of the program for user's viewing;
Sorting sub-module 6032 is configured to sort to the program for user's viewing according to the size of user preferences degree value;
Above-mentioned recommending module 604, as shown in Figure 9, comprising: recommendation submodule 6041 is configured to the result according to the descending of user preferences degree value, and the program of the predetermined number using the program the highest from user preferences degree value is as the program recommended.
In one embodiment, calculating sub module 6032 is configured to parse respectively for each tagged items corresponding to each program of user's viewing; For described each program for user's viewing, the hobby score value that described in corresponding to described each program for user's viewing, each tagged items is corresponding is weighted, and obtains the user preferences degree value of described each program for user's viewing.
In one embodiment, comprise in following program for the program of user's viewing one or more: for the program of user's program request in the program play in following Preset Time, request program storehouse.
In one embodiment, sending module 605, the connection can set up in advance by server and TV remote terminal, send the descriptor of the program recommended to user, connected mode can by the mode of wireless network, the particular type that the disclosure does not limit wireless network, procotol of adopting between server and TV remote terminal etc.
Figure 10 is the block diagram of the recommendation apparatus of a kind of program according to an exemplary embodiment, and this device can realize becoming the some or all of of electronic equipment by software, hardware or both combinations.As shown in Figure 10, this device comprises:
Acquisition module 1001, is configured to the historical viewing information gathering user;
Sending module 1002, is configured to send described historical viewing information to server;
Receiver module 1003, is configured to the programme information of the recommendation that reception server returns and to user's display, the programme information of described recommendation is that server is determined according to described historical viewing information.
In one embodiment, the recommendation apparatus of above-mentioned program, as shown in Figure 10, also comprise: prompting module 1004, be configured to when the program of described recommendation is the program for user's viewing, according to the broadcast time of the program of described recommendation, before the predetermined time period of the described broadcast time of the program of described recommendation, send the prompting message of broadcasting to user.
The disclosure embodiment still provides a kind of recommendation apparatus of program, comprising:
Processor;
For the memory of storage of processor executable instruction;
Wherein, described processor is configured to:
Receive the historical viewing information of the user that TV remote terminal gathers;
According to described historical viewing information, determine the preference information of user to program;
According to the preference information of described user to program, the user preferences degree of the program for user's viewing is predicted;
According to the user preferences degree of the program for user's viewing doped, the program that true directional user recommends;
The descriptor of the described program to user's recommendation is sent to TV remote terminal.
The disclosure embodiment still provides a kind of recommendation apparatus of program, comprising:
Processor;
For the memory of storage of processor executable instruction;
Wherein, described processor is configured to:
Gather the historical viewing information of user;
Send described historical viewing information to server;
The programme information of the recommendation that reception server returns to user's display, the programme information of described recommendation is that server is determined according to described historical viewing information.
About the device in above-described embodiment, wherein the concrete mode of modules executable operations has been described in detail in about the embodiment of the method, will not elaborate explanation herein.
Figure 11 is the block diagram of a kind of recommendation apparatus for program according to an exemplary embodiment, and this device is applicable to terminal equipment.Such as, device 1110 can be mobile phone, computer, digital broadcast terminal, messaging devices, game console, flat-panel devices, Medical Devices, body-building equipment, personal digital assistant etc.
Device 1100 can comprise following one or more assembly: processing components 1102, memory 1104, power supply module 1106, multimedia groupware 1108, audio-frequency assembly 1111, the interface 1111 of I/O (I/O), sensor cluster 1114, and communications component 1116.
The integrated operation of the usual control device 1100 of processing components 1102, such as with display, call, data communication, camera operation and record operate the operation be associated.Treatment element 1102 can comprise one or more processor 1120 to perform instruction, to complete all or part of step of above-mentioned method.In addition, processing components 1102 can comprise one or more module, and what be convenient between processing components 1102 and other assemblies is mutual.Such as, processing unit 1102 can comprise multi-media module, mutual with what facilitate between multimedia groupware 1108 and processing components 1102.
Memory 1104 is configured to store various types of data to be supported in the operation of equipment 1100.The example of these data comprises for any application program of operation on device 1100 or the instruction of method, contact data, telephone book data, message, picture, video etc.Memory 1104 can be realized by the volatibility of any type or non-volatile memory device or their combination, as static RAM (SRAM), Electrically Erasable Read Only Memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM), programmable read only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, disk or CD.
The various assemblies that electric power assembly 1106 is device 1100 provide electric power.Electric power assembly 1106 can comprise power-supply management system, one or more power supply, and other and the assembly generating, manage and distribute electric power for device 1100 and be associated.
Multimedia groupware 1108 is included in the screen providing an output interface between described device 1100 and user.In certain embodiments, screen can comprise liquid crystal display (LCD) and touch panel (TP).If screen comprises touch panel, screen may be implemented as touch-screen, to receive the input signal from user.Touch panel comprises one or more touch sensor with the gesture on sensing touch, slip and touch panel.Described touch sensor can the border of not only sensing touch or sliding action, but also detects the duration relevant to described touch or slide and pressure.In certain embodiments, multimedia groupware 1108 comprises a front-facing camera and/or post-positioned pick-up head.When equipment 1100 is in operator scheme, during as screening-mode or video mode, front-facing camera and/or post-positioned pick-up head can receive outside multi-medium data.Each front-facing camera and post-positioned pick-up head can be fixing optical lens systems or have focal length and optical zoom ability.
Audio-frequency assembly 1111 is configured to export and/or input audio signal.Such as, audio-frequency assembly 1111 comprises a microphone (MIC), and when device 1100 is in operator scheme, during as call model, logging mode and speech recognition mode, microphone is configured to receive external audio signal.The audio signal received can be stored in memory 1104 further or be sent via communications component 1116.In certain embodiments, audio-frequency assembly 1111 also comprises a loud speaker, for output audio signal.
I/O interface 1111 is for providing interface between processing components 1102 and peripheral interface module, and above-mentioned peripheral interface module can be keyboard, some striking wheel, button etc.These buttons can include but not limited to: home button, volume button, start button and locking press button.
Sensor cluster 1114 comprises one or more transducer, for providing the state estimation of various aspects for device 1100.Such as, sensor cluster 1114 can detect the opening/closing state of equipment 1100, the relative positioning of assembly, such as described assembly is display and the keypad of device 1100, the position of all right checkout gear 1100 of sensor cluster 1114 or device 1100 assemblies changes, the presence or absence that user contacts with device 1100, the variations in temperature of device 1100 orientation or acceleration/deceleration and device 1100.Sensor cluster 1114 can comprise proximity transducer, be configured to without any physical contact time detect near the existence of object.Sensor cluster 1114 can also comprise optical sensor, as CMOS or ccd image sensor, for using in imaging applications.In certain embodiments, this sensor cluster 1114 can also comprise acceleration transducer, gyro sensor, Magnetic Sensor, pressure sensor or temperature sensor.
Communications component 1116 is configured to the communication being convenient to wired or wireless mode between device 1100 and other equipment.Device 1100 can access the wireless network based on communication standard, as WiFi, 2G or 3G, or their combination.In one exemplary embodiment, communication component 1116 receives from the broadcast singal of external broadcasting management system or broadcast related information via broadcast channel.In one exemplary embodiment, described communication component 1116 also comprises near-field communication (NFC) module, to promote junction service.Such as, can based on radio-frequency (RF) identification (RFID) technology in NFC module, Infrared Data Association (IrDA) technology, ultra broadband (UWB) technology, bluetooth (BT) technology and other technologies realize.
In the exemplary embodiment, device 1100 can be realized, for performing said method by one or more application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components.
In the exemplary embodiment, additionally provide a kind of non-transitory computer-readable recording medium comprising instruction, such as, comprise the memory 1104 of instruction, above-mentioned instruction can perform said method by the processor 1120 of device 1100.Such as, described non-transitory computer-readable recording medium can be ROM, random access memory (RAM), CD-ROM, tape, floppy disk and optical data storage devices etc.
Figure 12 is the block diagram of a kind of recommendation apparatus for program according to an exemplary embodiment.Such as, device 1200 may be provided in a server.Device 1200 comprises processing components 1222, and it comprises one or more processor further, and the memory resource representated by memory 1232, can such as, by the instruction of the execution of processing unit 1222, application program for storing.The application program stored in memory 1232 can comprise each module corresponding to one group of instruction one or more.In addition, processing components 1222 is configured to perform instruction, to perform the above method.
Device 1200 can also comprise the power management that a power supply module 1226 is configured to final controlling element 1200, and a wired or wireless network interface 1250 is configured to device 1200 to be connected to network, and input and output (I/O) interface 1258.Device 1200 can operate the operating system based on being stored in memory 1232, such as Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM or similar.
A kind of non-transitory computer-readable recording medium, when the instruction in described storage medium is performed by the processor of device 1100, make device 1100 can perform the recommend method of above-mentioned program, described method comprises:
Receive the historical viewing information of the user that TV remote terminal gathers;
According to described historical viewing information, determine the preference information of user to program;
According to the preference information of described user to program, the user preferences degree of the program for user's viewing is predicted;
According to the user preferences degree of the program for user's viewing doped, the program that true directional user recommends;
The descriptor of the described program to user's recommendation is sent to TV remote terminal.
A kind of non-transitory computer-readable recording medium, when the instruction in described storage medium is performed by the processor of device 1200, make device 1200 can perform the method for the recommendation of above-mentioned program, described method comprises:
Gather the historical viewing information of user;
Send described historical viewing information to server;
The programme information of the recommendation that reception server returns to user's display, the programme information of described recommendation is that server is determined according to described historical viewing information.
Those skilled in the art, at consideration specification and after putting into practice disclosed herein disclosing, will easily expect other embodiment of the present disclosure.The application is intended to contain any modification of the present disclosure, purposes or adaptations, and these modification, purposes or adaptations are followed general principle of the present disclosure and comprised the undocumented common practise in the art of the disclosure or conventional techniques means.Specification and embodiment are only regarded as exemplary, and true scope of the present disclosure and spirit are pointed out by claim below.
Should be understood that, the disclosure is not limited to precision architecture described above and illustrated in the accompanying drawings, and can carry out various amendment and change not departing from its scope.The scope of the present disclosure is only limited by appended claim.
Claims (20)
1. a recommend method for program, for server side, is characterized in that, comprising:
Receive the historical viewing information of the user that TV remote terminal gathers;
According to described historical viewing information, determine the preference information of user to program;
According to the preference information of described user to program, the user preferences degree of the program for user's viewing is predicted;
According to the user preferences degree of the program for user's viewing doped, the program that true directional user recommends;
The descriptor of the described program to user's recommendation is sent to TV remote terminal.
2. method according to claim 1, is characterized in that, the historical viewing information of the user that TV remote terminal gathers, comprising: the viewing duration information of program label information and history program.
3. method according to claim 2, is characterized in that, described program label information comprises one or more tagged items;
Described according to described historical viewing information, determine the preference information of user to program, comprising:
According to viewing duration information and the described program label information of history program, count total viewing duration of all history programs corresponding to each described tagged items;
According to total viewing duration of all history programs corresponding to each described tagged items, determine the preference information of user to the program corresponding to each described tagged items.
4. method according to claim 3, is characterized in that, the preference information of described user to the program corresponding to each described tagged items comprises: the hobby score value that the program corresponding to each described tagged items is corresponding; Described hobby score value equals described total viewing duration, or be not equal to described total viewing duration but with always watch duration positive correlation.
5. the method according to any one of claim 1-4, it is characterized in that, described according to the preference information of user to program, the user preferences degree of the program for user's viewing is predicted, comprise: according to the preference information of described user to program, calculate the user preferences degree value of the program for user's viewing; And according to the size of described user preferences degree value, the program for user's viewing is sorted;
The user preferences degree of the program for user's viewing that described basis is determined, the program that true directional user recommends, comprise: according to the result of user preferences degree value descending, the program of the predetermined number using the program the highest from user preferences degree value is as the program recommended.
6. method according to claim 5, is characterized in that, described according to described preference information, calculates the user preferences degree value of the program for user's viewing, comprising:
Parse for each tagged items corresponding to each program of user's viewing respectively;
For described each program for user's viewing, the hobby score value that described in corresponding to described each program for user's viewing, each tagged items is corresponding is weighted, and obtains the user preferences degree value of described each program for user's viewing.
7. the method according to any one of claim 1-4, is characterized in that, described to comprise in following program for the program of user's viewing one or more: for the program of user's program request in the program play in following Preset Time, request program storehouse.
8. a recommend method for program, for TV remote end side, is characterized in that, comprising:
Gather the historical viewing information of user;
Send described historical viewing information to server;
The programme information of the recommendation that reception server returns to user's display, the programme information of described recommendation is that described server is determined according to described historical viewing information.
9. method according to claim 8, is characterized in that, described method also comprises:
When the program of described recommendation is the program play in following Preset Time, according to the broadcast time of the program of described recommendation, before the predetermined time period of the described broadcast time of the program of described recommendation, send the prompting message of broadcasting to user.
10. a recommendation apparatus for program, is characterized in that, comprising:
Receiver module, for receiving the historical viewing information of the user that TV remote terminal gathers;
Determination module, for according to described historical viewing information, determines the preference information of user to program;
Prediction module, for according to the preference information of described user to program, predicts the user preferences degree of the program for user's viewing;
Recommending module, for the user preferences degree according to the program for user's viewing doped, the program that true directional user recommends;
Sending module, for sending to TV remote terminal by the descriptor of the described program to user's recommendation.
11. devices according to claim 10, is characterized in that, the historical viewing information of the user that TV remote terminal gathers, comprising: the viewing duration information of program label information and history program.
12. devices according to claim 11, is characterized in that, described label information comprises one or more tagged items;
Described determination module, comprising:
Statistics submodule, for according to the viewing duration information of history program and described program label information, counts total viewing duration of all history programs corresponding to each described tagged items;
Determine submodule, for the total viewing duration according to all history programs corresponding to each described tagged items, determine the preference information of user to the program corresponding to each described tagged items.
13. devices according to claim 12, is characterized in that, described user, to the preference information of the program corresponding to each described tagged items, comprising: the hobby score value that the program corresponding to each described tagged items is corresponding; Described hobby score value equals described total viewing duration, or be not equal to described total viewing duration but with always watch duration positive correlation.
14. devices according to any one of claim 10-13, it is characterized in that, described prediction module, comprising: calculating sub module and sorting sub-module;
Described calculating sub module, for according to the preference information of described user to program, calculates the user preferences degree value of the program for user's viewing;
Described sorting sub-module, sorts to the program for user's viewing for the size according to described user preferences degree value;
Described recommending module, comprising: recommend submodule, and for the result according to the descending of user preferences degree value, the program of the predetermined number using the program the highest from user preferences degree value is as the program recommended.
15. devices according to claim 14, is characterized in that, described calculating sub module, for parsing for each tagged items corresponding to each program of user's viewing respectively; For described each program for user's viewing, the hobby score value that described in corresponding to described each program for user's viewing, each tagged items is corresponding is weighted, and obtains the user preferences degree value of described each program for user's viewing.
16. devices according to any one of claim 10-13, is characterized in that, it is one or more that the described program for user's viewing comprises in following program: for the program of user's program request in the program play in following Preset Time, request program storehouse.
The recommendation apparatus of 17. 1 kinds of programs, is characterized in that, comprising:
Acquisition module, for gathering the historical viewing information of user;
Sending module, for sending described historical viewing information to server;
Receiver module, the programme information of the recommendation returned for reception server to user's display, the programme information of described recommendation is that described server is determined according to described historical viewing information.
18. devices according to claim 17, it is characterized in that, also comprise: prompting module, during for being the program for user's viewing when the program of described recommendation, according to the broadcast time of the program of described recommendation, before the predetermined time period of the described broadcast time of the program of described recommendation, send the prompting message of broadcasting to user.
The recommendation apparatus of 19. 1 kinds of programs, is characterized in that, comprising:
Processor;
For the memory of storage of processor executable instruction;
Wherein, described processor is configured to:
Receive the historical viewing information of the user that TV remote terminal gathers;
According to described historical viewing information, determine the preference information of user to program;
According to the preference information of described user to program, the user preferences degree of the program for user's viewing is predicted;
According to the user preferences degree of the program for user's viewing doped, the program that true directional user recommends;
The descriptor of the described program to user's recommendation is sent to TV remote terminal.
The recommendation apparatus of 20. 1 kinds of programs, is characterized in that, comprising:
Processor;
For the memory of storage of processor executable instruction;
Wherein, described processor is configured to:
Gather the historical viewing information of user;
Send described historical viewing information to server;
The programme information of the recommendation that reception server returns to user's display, the programme information of described recommendation is that server is determined according to described historical viewing information.
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| CN201510329844.5A CN104954820A (en) | 2015-06-15 | 2015-06-15 | Program recommending method and device |
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| CN201510329844.5A CN104954820A (en) | 2015-06-15 | 2015-06-15 | Program recommending method and device |
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| CN112740712A (en) * | 2019-10-10 | 2021-04-30 | 海信视像科技股份有限公司 | Receiving apparatus, server, content recommendation system, and content recommendation method |
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| CN112333480A (en) * | 2020-09-03 | 2021-02-05 | 深圳Tcl新技术有限公司 | Program recommendation method, display terminal and computer readable storage medium |
| CN112235614A (en) * | 2020-10-14 | 2021-01-15 | 广州欢网科技有限责任公司 | Personalized recommendation method and system for ranking list data of television programs |
| CN113709507A (en) * | 2021-07-28 | 2021-11-26 | 北京达佳互联信息技术有限公司 | Video recommendation method and device, electronic equipment and storage medium |
| CN113709507B (en) * | 2021-07-28 | 2023-09-05 | 北京达佳互联信息技术有限公司 | Video recommendation method and device, electronic equipment and storage medium |
| CN114302182A (en) * | 2021-12-28 | 2022-04-08 | 未来电视有限公司 | Television program pushing method, device, equipment and storage medium |
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