CN103139616A - Personalization cloud recommendation method and system based on multi-user digital television program - Google Patents
Personalization cloud recommendation method and system based on multi-user digital television program Download PDFInfo
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Abstract
The invention discloses a personalization cloud recommendation method based on a multi-user digital television program. The method comprises following steps: according to user characteristics of each user of a digital television, identifying the user; according to program characteristics of each program, obtaining recommendation degree of the program; according to the recommendation degree, sorting programs to be selected from large to small; and sending information of a television program which is arranged at front in the recommendation degree to a digital television terminal to be displayed. The invention simultaneously discloses a personalization cloud recommendation system based on the multi-user digital television program. The system comprises a cloud server and a digital television terminal. The system can conduct data transmission through the cloud server and the digital television terminal, automatically collects ratings records of the users, recognizes the users on the cloud server, extracts characteristics of the users, comprehensively matches similarity between the program characteristics and the user characteristics, meets personal requirements for watching of the program of the television, and has the advantages of being real-time, accurate, and good in recommendation effect.
Description
Technical field
The present invention relates to the digital television program recommending field, be specifically related to a kind of personalized cloud recommend method and system of the digital television program based on the multi-user.
Background technology
At present, Digital Television, direct satellite broadcasting TV and CATV Technology are in Rapid development stage, and TV reception has become a kind of indispensable mode of people's leisure, amusement.Along with the reform of the television digitization of China and the burning hot development of the integration of three networks, can will get more and more for the TV programme that the user selects, under this trend, digital cable customers is faced the colorful TV programme that becomes increasingly abundant on the one hand, and they for how to select rapidly their interested content in so numerous programs are worrying on the other hand.The user of Digital Television is being faced with the problem of " information disaster " the same with the Internet.Traditional digital television program inventory and channel surfing technology can not be offered help to them this moment, present electronic program guides adopts the mode based on channel or classification that the rendition list is provided, and it is little that this mode solves the problem effect of this " information disaster ".
In general, the factors such as the viewing behavior of TV programme and user's age, interest, area have close relationship, and often there is certain similar relation in the viewing behavior between the user of potential same interest, and the age that this similar pass ties up to " information disaster " has infinite value.In order thoroughly to solve this Digital Television " information disaster " problem, TV Guide must have intelligent, it can be according to user's interest, hobby and rule automatic lifting forward direction user recommending television, and it can also be made adjustment to the TV programme of recommending from the variation of motion tracking user interest simultaneously.Therefore, the present invention mainly solves the program commending problem of Digital Television, how to utilize potential correlation rule between the user to realize the problem of the program intelligent recommendation of Digital Television.
The digital television program recommending system of present a kind of hidden customer feature gathers user watched record from top box of digital machine, and therefrom extraction comprises many-sided hidden customer feature, then, by the wired broadcasting television network, the similarity that comprehensively compares programs feature and user characteristics from a plurality of angles recommends the high TV programme of matching degree to the user.
The shortcoming of above-mentioned system mainly contains: 1, this system is only suitable for the situation at alone family, in China, most of domestic consumer uses a number of units word TV set-top box jointly, and this system can not accurately satisfy each kinsfolk's demand, causes the inaccurate of commending system; 2, this system is based on the wired broadcasting television network, and present most broadcasting and television network is separate in different areas, makes this commending system have the region limitation.
Therefore, need a kind of new digital television program recommending technical scheme, overcome the defective that present technical scheme exists.
Summary of the invention
The personalized cloud recommend method and the system that the purpose of this invention is to provide a kind of digital television program based on the multi-user, suitable TV programme can be recommended to the user by cloud by this system, in the impact that has to a certain degree reduced " information disaster " problem, reduced greatly the time that the user selects program of interest.
The invention provides a kind of personalized cloud recommend method of the digital television program based on the multi-user, comprise the following steps: identify the user according to each user's of Digital Television user characteristics; Try to achieve the recommendation degree of program according to the programs feature of each program; Selective program is sorted from big to small according to the recommendation degree; Sending recommendations degree sorts the information of forward TV programme to digital TV terminal and shows.
Preferably, the step that described each user's according to Digital Television user characteristics is identified the user comprises: extract the programs feature of Contemporary Digital television terminal, and mate corresponding user according to information filtering, complete the identification to the user.
Preferably, described step of trying to achieve the recommendation degree of program according to programs feature comprises: according to the programs feature γ that arrives and user characteristics μ, in conjunction with the recommendation mechanisms of content-based filtration and collaborative filtering, try to achieve the recommendation degree of described program
φ (μ, γ) wherein,
Be characterized as respectively the program and the matching degree that is characterized as the user of μ of γ, be characterized as the user of μ and be characterized as μ
kUser's similarity, λ
1And λ
2Be corresponding weights.
Preferably, described degree of recommendation is comprised by the step that sends on digital TV terminal to the forward programme information of little sequence greatly: send the forward programme information of recommendation degree to digital TV terminal, and judge whether the user needs programs recommended information is shown on digital TV terminal, according to user's needs, the programme information of recommending is shown on Digital Television.
Correspondingly, the present invention provides a kind of personalized cloud commending system of the digital television program based on the multi-user simultaneously, comprise: cloud server and digital TV terminal, described cloud server is identified the user according to each user's of Digital Television user characteristics, and try to achieve the recommendation degree of program according to the programs feature of each program, simultaneously selective program is sorted from big to small according to the recommendation degree, send the information of the forward TV programme of recommendation degree sequence to digital TV terminal; Described digital TV terminal is used for collecting user's viewing-data and receiving the programs recommended information that cloud server sends, and shows according to user's demand.
Preferably, described cloud server comprises: user characteristics module, programs feature module, subscriber identification module, program commending module and cloud server communication module, described user characteristics module is used for the historical rating record of analysis user, therefrom extracts feature and the storage of this digital television terminal user; Described programs feature module is used for integrating the programme information on DVB-SI information and network, builds program information database, therefrom extracts programs feature and the storage of TV programme; Described subscriber identification module is connected with the programs feature module with the user characteristics module, is used for reading user characteristics and watches at present the programs feature of program, thereby try to achieve described program and user's matching degree and the user is identified; Described program commending module is connected with the programs feature module communication with the user characteristics module, by the recommendation mechanisms of information filtering and collaborative filtering, realizes the digital television program recommending function; Described cloud server communication module is used for the user watched data that the receiving digital television terminal sends and the programme information of recommending is sent to corresponding digital TV terminal.
Preferably, described digital TV terminal comprises: the rating that watching data collecting module, programme information display module and digital TV terminal communication module, described watching data collecting module are used for this digital TV terminal of collection records and stores; Described programme information display module is used for the programs recommended information that receives is shown; Described digital TV terminal communication module is used for realizing communicating by letter of digital TV terminal and cloud server.
Compared with prior art, technical scheme of the present invention, from gathering user watched data to extracting user characteristics according to historical viewing-data and carrying out user's identification and recommend interested program to the user to User feature and programs feature again according to SI information and network information extraction programs feature, whole process is all completed automatically, is not subjected to the impact of artificial subjective factor; Historical viewing-data by the user extracts user characteristics, makes viewing-data objective and more detailed, has guaranteed that the result of feature extraction is more accurate; Based on user characteristics and programs feature, the user is identified, make the user object recommended more clear and definite and be rich in specific aim; The recommendation mechanisms of content-based filtration and collaborative filtering is the recommendation degree of more optional program comprehensively, satisfies better, in time user's actual needs.
Description of drawings
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, the below will do to introduce simply to the accompanying drawing of required use in embodiment or description of the Prior Art, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain according to these accompanying drawings other accompanying drawing.
Fig. 1 is the structural representation based on the personalized cloud commending system of multi-user's digital television program of the embodiment of the present invention;
Fig. 2 is the flow chart that the present invention is based on multi-user's digital television program cloud recommend method;
Fig. 3 is the flow chart based on multi-user's digital television program cloud recommend method of the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, rather than whole embodiment.Based on the embodiment in the present invention, those of ordinary skills belong to the scope of protection of the invention not making all other embodiment that obtain under the creative work prerequisite.
The invention provides the solution that a kind of personalized cloud of the digital television program based on the multi-user is recommended, can extract user characteristics and extract programs feature from user's viewing-data from SI information and website programme information, and come identification to the user according to user characteristics and programs feature, come the recommended degree of comprehensive measurement program in conjunction with information filtering and collaborative filtering.
Fig. 1 shows the personalized cloud commending system structural representation based on multi-user's digital television program in the embodiment of the present invention, and this system comprises cloud server and digital TV terminal.
Described cloud server is identified the user according to each user's of Digital Television user characteristics, and try to achieve the recommendation degree of program according to the programs feature of each program, simultaneously selective program is sorted from big to small according to the recommendation degree, send the information of the forward TV programme of recommendation degree sequence to digital TV terminal; Described digital TV terminal is used for collecting user's viewing-data and receiving the programs recommended information that cloud server sends, and shows according to user's demand.Digital TV terminal can carry out the mutual of information by Ethernet and cloud server, for example user watched data uploads transmission with programs recommended information, its process is mainly digital TV terminal the viewing-data that gathers is uploaded to cloud server, then cloud server is analyzed viewing-data and programme information, obtain programs recommended information, at last programs recommended information is sent to digital TV terminal.
Preferably, described cloud server comprises: user characteristics module, programs feature module, subscriber identification module, program commending module and cloud server communication module, described user characteristics module is used for the historical rating record of analysis user, therefrom extracts feature and the storage of this digital television terminal user; Described programs feature module is used for integrating the programme information on DVB-SI information and network, build program information database, therefrom extract programs feature and the storage of TV programme, wherein, described programme information comprises programm name, broadcasting channel, reproduction time, program category etc.Described subscriber identification module is connected with the programs feature module with the user characteristics module, is used for reading user characteristics and watches at present the programs feature of program, thereby try to achieve described program and user's matching degree and the user is identified; Described program commending module is connected with the programs feature module communication with the user characteristics module, calculate the recommendation degree of program by the recommendation mechanisms of information filtering and collaborative filtering, from big to small program is sorted according to the recommendation degree, the forward programme information of sequence is sent to digital TV terminal, realize the digital television program recommending function; Described cloud server communication module is used for the user watched data that the receiving digital television terminal sends and the programme information of recommending is sent to corresponding digital TV terminal.
Preferably, described digital TV terminal comprises: the rating that watching data collecting module, programme information display module and digital TV terminal communication module, described watching data collecting module are used for this digital TV terminal of collection records and stores; Described programme information display module is used for the programs recommended information that receives is shown; Described digital TV terminal communication module is used for realizing communicating by letter of digital TV terminal and cloud server.
Be the personalized cloud recommend method of digital television program due to core of the present invention, thereby followingly just by reference to the accompanying drawings the recommend method of program be described in detail.
With reference to figure 2, the personalized cloud recommend method of the digital television program based on the multi-user of the present invention comprises the following steps:
Step S001: identify the user according to each user's of Digital Television user characteristics;
Step S002: the recommendation degree of trying to achieve program according to the programs feature of each program; Selective program is sorted from big to small according to the recommendation degree;
Step S003: send recommendations degree and sort the information of forward TV programme to digital TV terminal and show.
Fig. 3 is the flow chart according to the cloud recommend method of the digital television program of a preferred embodiments of the present invention.The detailed process of this cloud recommend method is as follows:
Step1: read user characteristics.In the user characteristics module, to user watched data analysis, after extracting user characteristics and storage, read corresponding user characteristics, be sent in user's identification and program commending module.Turn Step3;
Step2: read programs feature.In the programs feature module, according to programme information on SI programme information and website, build program information database, after extracting programs feature and storage, read programs feature, for user's identification of back provides the analysis data with the program commending module.Turn Step3;
Step3: user's identification.According to user characteristics with watch at present the programs feature of program, try to achieve this program and user's matching degree and according to matching degree, the user identified.Turn Step4 after completing;
Step4: the recommendation degree that calculates program.According to the programs feature γ that arrives and user characteristics μ, in conjunction with the recommendation mechanisms of content-based filtration and collaborative filtering, try to achieve the recommendation degree of this program
φ (μ, γ) wherein,
Be characterized as respectively the program and the matching degree that is characterized as the user of μ of γ, be characterized as the user of μ and be characterized as μ
kUser's similarity, λ
1And λ
2Be corresponding weights.Turn Step5;
Step5: program is sorted according to the recommendation degree.According to recommendation degree A order from big to small, all optional programs are sorted.Turn Step6;
Step6: send programs recommended information.The programme information that the recommendation degree is forward (as programm name, reproduction time, program category etc.) sends to digital TV terminal, and show on digital TV terminal, for example can be according to the size of program guide, the programme information of paging ground demonstration respective numbers, complete.
Compared with prior art, technical scheme of the present invention, from gathering user watched data to extracting user characteristics according to historical viewing-data and carrying out user's identification and recommend interested program to the user to User feature and programs feature again according to SI information and network information extraction programs feature, whole process is all completed automatically, is not subjected to the impact of artificial subjective factor; Historical viewing-data by the user extracts user characteristics, makes viewing-data objective and more detailed, has guaranteed that the result of feature extraction is more accurate; Based on user characteristics and programs feature, the user is identified, make the user object recommended more clear and definite and be rich in specific aim; The recommendation mechanisms of content-based filtration and collaborative filtering is the recommendation degree of more optional program comprehensively, satisfies better, in time user's actual needs.
Above personalized cloud recommend method and the system based on multi-user's digital television program that the embodiment of the present invention is provided, be described in detail, used specific case herein principle of the present invention and execution mode are set forth, the explanation of above embodiment just is used for helping to understand method of the present invention and core concept thereof; Simultaneously, for one of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (7)
1. the personalized cloud recommend method based on multi-user's digital television program, is characterized in that, comprises the steps:
Identify the user according to each user's of Digital Television user characteristics;
Try to achieve the recommendation degree of program according to the programs feature of each program;
Selective program is sorted from big to small according to the recommendation degree;
Sending recommendations degree sorts the information of forward TV programme to digital TV terminal and shows.
2. the personalized cloud recommend method of the digital television program based on the multi-user as claimed in claim 1, is characterized in that, the step that described each user's according to Digital Television user characteristics is identified the user comprises:
Extract the programs feature of Contemporary Digital television terminal, and mate corresponding user according to information filtering, complete the identification to the user.
3. the personalized cloud recommend method of the digital television program based on the multi-user as claimed in claim 1, is characterized in that, described step of trying to achieve the recommendation degree of program according to programs feature comprises:
According to the programs feature γ that arrives and user characteristics μ, in conjunction with the recommendation mechanisms of content-based filtration and collaborative filtering, try to achieve the recommendation degree of described program
φ (μ, γ) wherein,
Be characterized as respectively the program and the matching degree that is characterized as the user of μ of γ, be characterized as the user of μ and be characterized as μ
kUser's similarity, λ
1And λ
2Be corresponding weights.
4. the personalized cloud recommend method of the digital television program based on the multi-user as claimed in claim 1, is characterized in that, described degree of recommendation comprised by the step that sends on digital TV terminal to the forward programme information of little sequence greatly:
Send the forward programme information of recommendation degree to digital TV terminal, and judge whether the user needs programs recommended information is shown on digital TV terminal, according to user's needs, the programme information of recommending is shown on Digital Television.
5. personalized cloud commending system based on multi-user's digital television program, it is characterized in that, comprise: cloud server and digital TV terminal, described cloud server is identified the user according to each user's of Digital Television user characteristics, and try to achieve the recommendation degree of program according to the programs feature of each program, simultaneously selective program is sorted from big to small according to the recommendation degree, send the information of the forward TV programme of recommendation degree sequence to digital TV terminal; Described digital TV terminal is used for collecting user's viewing-data and receiving the programs recommended information that cloud server sends, and shows according to user's demand.
6. the personalized cloud commending system of the digital television program based on the multi-user as claimed in claim 5, is characterized in that, described cloud server comprises:
The user characteristics module for the historical rating record of analysis user, is therefrom extracted feature and the storage of this digital television terminal user;
The programs feature module is used for integrating the programme information on DVB-SI information and network, builds program information database, therefrom extracts programs feature and the storage of TV programme;
Subscriber identification module is connected with the programs feature module with the user characteristics module, is used for reading user characteristics and watches at present the programs feature of program, thereby try to achieve described program and user's matching degree and the user is identified;
The program commending module is connected with the programs feature module communication with the user characteristics module, by the recommendation mechanisms of information filtering and collaborative filtering, realizes the digital television program recommending function;
The cloud server communication module is used for the user watched data that the receiving digital television terminal sends and the programme information of recommending is sent to corresponding digital TV terminal.
7. as the personalized cloud commending system of claim 5 or 6 described digital television programs based on the multi-user, it is characterized in that, described digital TV terminal comprises:
The watching data collecting module, the rating that is used for this digital TV terminal of collection records and stores;
The programme information display module is used for the programs recommended information that receives is shown;
The digital TV terminal communication module is used for realizing communicating by letter of digital TV terminal and cloud server.
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