CN107659849A - A kind of method and system for recommending program - Google Patents

A kind of method and system for recommending program Download PDF

Info

Publication number
CN107659849A
CN107659849A CN201711072182.3A CN201711072182A CN107659849A CN 107659849 A CN107659849 A CN 107659849A CN 201711072182 A CN201711072182 A CN 201711072182A CN 107659849 A CN107659849 A CN 107659849A
Authority
CN
China
Prior art keywords
program
push
user
rendition list
recommendation
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201711072182.3A
Other languages
Chinese (zh)
Inventor
纪琦华
蒲珂
曾泽基
方宏
李哲山
鲁豪
胡彬
魏明
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Science And Technology Co Ltd
Original Assignee
China Science And Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Science And Technology Co Ltd filed Critical China Science And Technology Co Ltd
Priority to CN201711072182.3A priority Critical patent/CN107659849A/en
Publication of CN107659849A publication Critical patent/CN107659849A/en
Pending legal-status Critical Current

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45Management 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
    • H04N21/466Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4668Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing 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
    • H04N21/431Generation of visual interfaces for content selection or interaction; Content or additional data rendering
    • H04N21/4312Generation of visual interfaces for content selection or interaction; Content or additional data rendering involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing 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
    • H04N21/442Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
    • H04N21/44204Monitoring of content usage, e.g. the number of times a movie has been viewed, copied or the amount which has been watched
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47End-user applications
    • H04N21/475End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data
    • H04N21/4755End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data for defining user preferences, e.g. favourite actors or genre
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47End-user applications
    • H04N21/482End-user interface for program selection
    • H04N21/4826End-user interface for program selection using recommendation lists, e.g. of programs or channels sorted out according to their score

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Databases & Information Systems (AREA)
  • Human Computer Interaction (AREA)
  • Software Systems (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)

Abstract

The invention provides a kind of method and system for recommending program, determines possible program interested according to the history of user broadcasting record and retrieval record first, creates and recommend the rendition list, so as to reduce the scope of recommendation;Preference of the user to each program is calculated further according to retrieval number and broadcasting time, and recommends the program in the rendition list to be ranked up according to preference by being included in;Finally according to the visual custom of common people, by the setting of the programs of top ranked at the center at push interface, so that user can see the very first time, other programs are distributed to upper and lower ends successively from high to low according to ranking, and rotary rolling is shown all programs in the horizontal direction, to enable the information such as program content descriptions, sectional drawing to be intactly presented to user.By the above method, randomness and independence that user selects program can be effectively improved, so as to improve the probability of the usage experience of user and selection.

Description

A kind of method and system for recommending program
Technical field
The invention belongs to TV programme intelligent push field, more particularly to a kind of method and system for recommending program.
Background technology
In recent years, as the rapid development of network technology, traditional TV domain can not meet to use due to direct-seeding The demand at family, also begin to gradually to web development.Because the value volume and range of product of TV programme increases considerably, user is from great As vast sea of fog content in search program interested and need to take a substantial amount of time and energy so that the usage experience of user Reduce, interest weakens.Therefore, it is necessary to be screened to substantial amounts of TV programme, find out user's content interested, so as to Efficiently and accurately pushed.Existing TV programme method for pushing is mainly based upon Collaborative Filtering Recommendation Algorithm and carried out to section Mesh is screened, and be may be based on user preferences and is corrected.But these recommendation methods based on algorithm often purpose compared with By force, have the tendency of to force user's selection, and user does not have clear and definite purpose, only desires to see the program of high quality sometimes. Therefore often there is the problem of accuracy is relatively low, flexibility is insufficient in existing recommendation method.
The content of the invention
In order to solve the above-mentioned technical problem, the invention provides a kind of method and system for recommending program.
Concrete technical scheme of the present invention is as follows:
One aspect of the present invention provides a kind of method for recommending program, comprises the following steps:
S1:Record and retrieval record are played according to the history of user, existing program set screened, establishment pushes away Recommend the rendition list;
S2:According to the retrieval number and broadcasting time of program, the preference for recommending each program in the rendition list is calculated Degree, and be ranked up;
S3:Push interface is created, described recommendation the rendition list is placed in into the push interface is shown, display methods For:According to the preference from high to low, by the program it is described push interface on from equatorial positions to two extreme directions according to Secondary distribution display.
Further, the step S1 comprises the following steps:
S1.1:Record is played to the history of user using user interest modeling method and retrieval record analyzes and processes, Generate user preference matrix;
S1.2:According to the user preference matrix, using Collaborative Filtering Recommendation Algorithm to existing program set at Reason, generate first the rendition list;
S1.3:Relevance threshold is set, according to the attribute information of program in described first the rendition list, using cooperateing with Filter proposed algorithm the program for being not included in described first the rendition list is analyzed, find out with described first the rendition list The correlation of program is not less than the program of the relevance threshold as candidate program, and is added to described first the rendition list In, the rendition list is recommended in generation.
Further, the step S2 comprises the following steps:
S2.1:Keyword database is created, and will be wherein close in meaning or related keyword is interrelated, generation is more Individual keyword set, and match at least one keyword set for each program in described recommendation the rendition list;
S2.2:Using user interest modeling method, the pass matched according to the broadcasting time of each program and the program The retrieval number of at least two any keywords in keyword set, calculate the preference for recommending each program in the rendition list Degree, and be ranked up from high to low.
Further, in the step S3, the push interface is spherical or top in shape, and the push interface is in latitude The angular speed of the rotation of the optional position in addition to equator in direction is as follows:
Wherein:V is the angular speed rotated at the push interface equator;D1 is the push interface in current location Diameter;D is the diameter at the push interface equator.
Further, in the step S3, the display methods specifically comprises the following steps:
S3.1:Program in described recommendation the rendition list is randomly divided into some groups, program is recommended in every group of generation one List, and the preference of every group of program is ranked up respectively;
S3.2:When carrying out program push, it will each recommend program sublist to be arranged along longitudinal and show, such as currently just The program for having user to need in recommendation program sublist to screen, then directly select, play out;Conversely, then described in rotation Push interface carries out next round and shown to switch next recommendation program sublist.
Further, during handover recommendation program sublist, the computational methods of the push interface anglec of rotation are as follows:
Wherein:D is the diameter at the push interface equator;N is the number for recommending program sublist;V is the push The angular speed rotated at the equator of interface.
Further, methods described also comprises the following steps:
S4:Advertisement windows are set on the push interface, the advertisement windows play the time duration of advertisement with it is existing It is directly proportional that the authority of charge program in program set opens quantity;And the advertisement for playing particular advertisement business corresponds to specific receipts The authority for taking program opens.
Another aspect of the present invention provides a kind of system for recommending program, including such as lower part:
Recommend the rendition list creating unit, for playing record and retrieval record according to the history of user, to existing section Mesh set is screened, and is created and is recommended the rendition list;
Preference analyzes sequencing unit, for the retrieval number and broadcasting time according to program, calculates the recommendation section The preference of each program in mesh list, and be ranked up;
Push unit, interface is pushed for creating, by the program described according to the preference from high to low On push interface display is sequentially distributed from equatorial positions to two extreme directions.
Further, the push unit includes such as lower part:
Push interface manager module, for create push interface, and according to ordering scenario will be to be pushed in be placed in institute Push interface is stated to be shown;
Recommend program sublist creation module, for generating some recommendation programs at random according to described recommendation the rendition list Sublist, and preference sequence is carried out to each program recommended in program sublist;
Switching control module, for controlling the switching and push display of different recommendation program sublist.
Further, the system also includes such as lower part:
Advertising management unit, for creating advertisement windows, control advertisement plays, the time of record advertisement broadcasting, and according to Play the duration of advertisement or content correspondingly controls the authority of charge program to open.
Beneficial effects of the present invention are as follows:The invention provides it is a kind of recommend program method and system, first according to The history broadcasting record and retrieval record at family determine possible program interested, create and recommend the rendition list, recommend so as to reduce Scope;Preference of the user to each program is calculated further according to retrieval number and broadcasting time, and recommendation program will be included in Program in list is ranked up according to preference;Finally according to the visual custom of common people, by the program of top ranked The center at push interface is arranged on, so that user can see that other programs are upward successively from high to low according to ranking the very first time Lower both ends distribution, and rotary rolling is shown all programs in the horizontal direction, to believe program content descriptions, sectional drawing etc. Breath can intactly be presented to user.By the above method, randomness and independence that user selects program can be effectively improved, So as to improve the probability of the usage experience of user and selection.
Brief description of the drawings
Fig. 1 is a kind of schematic diagram of the method for recommendation program described in embodiment 1;
Fig. 2 is the structural representation that interface is pushed in a kind of method of recommendation program described in embodiment 1;
Fig. 3 be embodiment 2 described in a kind of recommendation program method in step S1 schematic diagram;
Fig. 4 be embodiment 2 described in a kind of recommendation program method in step S2 schematic diagram;
Fig. 5 be embodiment 3 described in a kind of recommendation program method in step S3 schematic diagram;
Fig. 6 is the structural representation that interface is pushed in a kind of method of recommendation program described in embodiment 3;
Fig. 7 is a kind of structural representation of the system of recommendation program described in embodiment 5;
Fig. 8 is a kind of structural representation of the system of recommendation program described in embodiment 6;
Fig. 9 is a kind of structural representation of the system of recommendation program described in embodiment 7.
Embodiment
The present invention is described in further detail with following examples below in conjunction with the accompanying drawings.
Embodiment 1
As shown in Fig. 1~2, the embodiment of the present invention 1 provides a kind of method for recommending program, it is characterised in that including such as Lower step:
S1:Record and retrieval record are played according to the history of user, existing program set screened, establishment pushes away Recommend the rendition list;
S2:According to the retrieval number and broadcasting time of program, the preference for recommending each program in the rendition list is calculated Degree, and be ranked up;
S3:Push interface is created, described recommendation the rendition list is placed in into the push interface is shown, display methods For:According to the preference from high to low, by the program it is described push interface on from equatorial positions to two extreme directions according to Secondary distribution display.
The method for the recommendation program that the present embodiment 1 provides, record is played according to the history of user first and retrieval record is true Fixed program that may be interested, create and recommend the rendition list, so as to reduce the scope of recommendation;Further according to retrieval number and broadcasting Number calculates preference of the user to each program, and recommends the program in the rendition list to enter according to preference by being included in Row sequence;Finally according to the visual custom of common people, by the setting of the programs of top ranked in center (the i.e. equator at push interface Position), so that user can see that other programs are according to ranking from high to low successively to upper and lower ends (i.e. the two poles of the earth side the very first time To) distribution, to make the information such as the content introduction of all programs, sectional drawing more can comprehensively be presented to user.By above-mentioned Method, randomness and independence that user selects program can be effectively improved, so as to improve the usage experience of user and selection Probability.
Embodiment 2
As shown in figure 3, the present embodiment 2 provides a kind of method for recommending program, the implementation on the basis of embodiment 1 Example 2 further defines the step S1 and comprised the following steps:
S1.1:Record is played to the history of user using user interest modeling method and retrieval record analyzes and processes, Generate user preference matrix;
S1.2:According to the user preference matrix, using Collaborative Filtering Recommendation Algorithm to existing program set at Reason, generate first the rendition list;
S1.3:Relevance threshold is set, according to the attribute information of program in described first the rendition list, using cooperateing with Filter proposed algorithm the program for being not included in described first the rendition list is analyzed, find out with described first the rendition list The correlation of program is not less than the program of the relevance threshold as candidate program, and is added to described first the rendition list In, the rendition list is recommended in generation.
By the above method, first the rendition list is obtained by certainty factor first, reduces and recommends program scope, so Carried out looking into scarce mending-leakage according to uncertain factor afterwards, find out and be not included in first the rendition list but with being saved in first the rendition list The higher program of mesh correlation, the rendition list is recommended into the two merging, generation, scope is too small causes to use so as to avoid push Family can not watch the situation of program interested.
As shown in figure 4, the step S2 comprises the following steps:
S2.1:Keyword database is created, and will be wherein close in meaning or related keyword is interrelated, generation is more Individual keyword set, and match at least one keyword set for each program in described recommendation the rendition list;
S2.2:Using user interest modeling method, the pass matched according to the broadcasting time of each program and the program The retrieval number of at least two any keywords in keyword set, calculate the preference for recommending each program in the rendition list Degree, and be ranked up from high to low.
Broadcasting time or retrieval number such as some program is more, then illustrates that user is interested in the program, preference It is higher, but in view of the complexity of Chinese, only consider that the retrieval number of single vocabulary easily masks and largely differ still phase Near or related useful information;Therefore counted in the above method using keyword set, so as to effectively improve analysis Accuracy.
Embodiment 3
As shown in Fig. 5~6, the present embodiment 3 provides a kind of method for recommending program, the reality on the basis of embodiment 2 Apply example 3 to further define in the step S3, the push interface is spherical or top in shape, and the push interface is in latitude The angular speed of the rotation of the optional position in addition to equator in direction is as follows:
Wherein:V is the angular speed rotated at the push interface equator;D1 is the push interface in current location Diameter;D is the diameter at the push interface equator.
According to above-mentioned formula, because the d on push interface is always larger than d1, therefore the rotary speed at equator is forever big In other positions, so that the duration all same to turn around is revolved in push interface any position on dimension direction, so as to protect Identical rhythm rotational display can be kept in push by demonstrate,proving all programs.
The display methods specifically comprises the following steps:
S3.1:Program in described recommendation the rendition list is randomly divided into some groups, program is recommended in every group of generation one List, and the preference of every group of program is ranked up respectively;
S3.2:When carrying out program push, it will each recommend program sublist to be arranged along longitudinal and show, such as currently just The program for having user to need in recommendation program sublist to screen, then directly select, play out;Conversely, then described in rotation Push interface carries out next round and shown to switch next recommendation program sublist.
During handover recommendation program sublist, the computational methods of the push interface anglec of rotation are as follows:
Wherein:D is the diameter at the push interface equator;N is the number for recommending program sublist;V is the push The angular speed rotated at the equator of interface.
In order to avoid the content of push interface display is excessive, causes word or image too small, the usage experience of user is influenceed With the enthusiasm of selection, the rendition list will be recommended to be divided into multiple recommendation program sublist and arranged along longitudinal and shown, used Family can be to current face screen recommendation program sublist L I browse, to select suitable program;As do not needed in L I Program, then recommend program sublist L II to next by rotating push changing interface, i.e., L II rotated into face screen The position of curtain, is browsed and is selected to the program in L II;By that analogy.Traditional program is substituted by above-mentioned push mode List, operability when user browses interest and the selection of programme content can be improved, thus both ensure that the number of push content Measure, in turn ensure that the quality of push mode.
Embodiment 4
The present embodiment 4 provides a kind of method for recommending program on the basis of embodiment 1, and the embodiment 4 further limits Determine methods described also to comprise the following steps:
S4:Advertisement windows are set on the push interface, the advertisement windows play the time duration of advertisement with it is existing It is directly proportional that the authority of charge program in program set opens quantity;And the advertisement for playing particular advertisement business corresponds to specific receipts The authority for taking program opens.
For the program (film such as shown) that some copyright fees are higher or do not reach the standard grade formally, Ke Yiyou Some advertisers provide with funds to TV programme operator to be bought or is made after oneself directly buying with operators in co-operation With.For preceding kind of situation, user can unlock the authority of respective program by the accumulative duration for playing advertisement;For rear kind Situation, then it can unlock the authority for the program that the advertiser buys by playing the advertisement of particular advertisement business.Thus protecting While card user conveniently watches legal program, ensure advertiser and the interests of operator both sides.
Embodiment 5
As shown in fig. 7, the present embodiment 5 provides a kind of system for recommending program, including such as lower part:
Recommend the rendition list creating unit 1, for playing record and retrieval record according to the history of user, to existing Program set is screened, and is created and is recommended the rendition list;
Preference analyzes sequencing unit 2, for the retrieval number and broadcasting time according to program, calculates the recommendation The preference of each program in the rendition list, and be ranked up;
Push unit 3, interface is pushed for creating, by the program described according to the preference from high to low On push interface display is sequentially distributed from equatorial positions to two extreme directions.
By said system, the scope for recommending program can be reduced, and is ranked up according to the hobby of user, thus may be used Randomness and independence that user selects program are effectively improved, so as to improve the probability of the usage experience of user and selection.
Embodiment 6
As shown in figure 8, the present embodiment 6 provides a kind of system for recommending program, the implementation on the basis of embodiment 5 Example 6, which further defines the push unit 3, includes such as lower part:
Push interface manager module 31, for create push interface, and according to ordering scenario will be to be pushed in be placed in The push interface is shown;
Recommend program sublist creation module 32, saved for generating some recommendations at random according to described recommendation the rendition list Mesh sublist, and preference sequence is carried out to each program recommended in program sublist;
Switching control module 33, for controlling the switching and push display of different recommendation program sublist.
The effect of above-mentioned module cooperative, can by information completelies such as program content descriptions, sectional drawings, be presented to user exactly, Both it ensure that the quantity of push content, in turn ensure that the quality of push mode, so as to improve the usage experience of user and selection Probability.
Embodiment 7
As shown in figure 9, the present embodiment 7 provides a kind of system for recommending program, the implementation on the basis of embodiment 5 Example 7, which further defines, also includes such as lower part:
Advertising management unit 4, for creating advertisement windows, the time that control advertisement plays, record advertisement plays, and root The authority for correspondingly controlling charge program according to the duration or content that play advertisement opens.
Cooperation of the TV programme operator with advertiser in specific charge program can be realized by said units, so as to While ensureing that user conveniently watches legal program, ensure advertiser and the interests of operator both sides.
Embodiment described above only expresses the several embodiments of the present invention, and its description is more specific and detailed, but simultaneously Therefore the limitation to the scope of the claims of the present invention can not be interpreted as.It should be pointed out that for one of ordinary skill in the art For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to the present invention's Protection domain.Therefore, the protection domain of patent of the present invention should be determined by the appended claims.

Claims (10)

  1. A kind of 1. method for recommending program, it is characterised in that comprise the following steps:
    S1:Record and retrieval record are played according to the history of user, existing program set is screened, creates and recommends program List;
    S2:According to the retrieval number and broadcasting time of program, the preference for recommending each program in the rendition list is calculated, And it is ranked up;
    S3:Push interface is created, described recommendation the rendition list is placed in into the push interface is shown that display methods is:Press According to the preference from high to low, the program is sequentially distributed on the push interface from equatorial positions to two extreme directions Display.
  2. 2. recommend the method for program as claimed in claim 1, it is characterised in that the step S1 comprises the following steps:
    S1.1:Record is played to the history of user using user interest modeling method and retrieval record analyzes and processes, is generated User preference matrix;
    S1.2:According to the user preference matrix, existing program set is handled using Collaborative Filtering Recommendation Algorithm, it is raw Into first the rendition list;
    S1.3:Relevance threshold is set, according to the attribute information of program in described first the rendition list, utilizes collaborative filtering recommending Algorithm is analyzed the program for being not included in described first the rendition list, finds out the phase with program in described first the rendition list Closing property is not less than the program of the relevance threshold as candidate program, and is added in described first the rendition list, and generation pushes away Recommend the rendition list.
  3. 3. recommend the method for program as claimed in claim 1, it is characterised in that the step S2 comprises the following steps:
    S2.1:Keyword database is created, and will be wherein close in meaning or related keyword is interrelated, generates multiple keys Set of words, and match at least one keyword set for each program in described recommendation the rendition list;
    S2.2:Using user interest modeling method, the keyword matched according to the broadcasting time of each program and the program The retrieval number of at least two any keywords in set, the preference for recommending each program in the rendition list is calculated, And it is ranked up from high to low.
  4. 4. recommend the method for program as claimed in claim 1, it is characterised in that in the step S3, the push interface is Spherical or top in shape, the push interface are as follows in the angular speed that the latitudinal optional position in addition to equator rotates:
    <mrow> <mi>v</mi> <mn>1</mn> <mo>=</mo> <mfrac> <mrow> <mi>v</mi> <mi>d</mi> <mn>1</mn> </mrow> <mi>d</mi> </mfrac> </mrow>
    Wherein:V is the angular speed rotated at the push interface equator;D1 is diameter of the push interface in current location;d For the diameter at the push interface equator.
  5. 5. recommend the method for program as claimed in claim 4, it is characterised in that in the step S3, the display methods tool Body comprises the following steps:
    S3.1:Program in described recommendation the rendition list is randomly divided into some groups, program sublist is recommended in every group of generation one, And the preference of every group of program is ranked up respectively;
    S3.2:When carrying out program push, it will each recommend program sublist to be arranged along longitudinal and show, such as current face screen Recommendation program sublist in have user need program, then directly select, play out;Conversely, then rotate push circle Face carries out next round and shown to switch next recommendation program sublist.
  6. 6. recommend the method for program as claimed in claim 5, it is characterised in that described to push away during handover recommendation program sublist Send the computational methods of the interface anglec of rotation as follows:
    <mrow> <mi>f</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mrow> <mn>360</mn> <mi>&amp;pi;</mi> <mi>d</mi> </mrow> <mrow> <mi>n</mi> <mi>v</mi> </mrow> </mfrac> </mrow>
    Wherein:D is the diameter at the push interface equator;N is the number for recommending program sublist;V is the push interface The angular speed rotated at equator.
  7. 7. recommend the method for program as claimed in claim 1, it is characterised in that also comprise the following steps:
    S4:The push interface is provided with advertisement windows, and the advertisement windows play the time duration of advertisement and existing program It is directly proportional that the authority of charge program in set opens quantity;And the advertisement for playing particular advertisement business corresponds to specific charge program Authority open.
  8. 8. a kind of system for recommending program, it is characterised in that including such as lower part:
    Recommend the rendition list creating unit (1), for playing record and retrieval record according to the history of user, to existing program Set is screened, and is created and is recommended the rendition list;
    Preference analysis sequencing unit (2), for the retrieval number and broadcasting time according to program, calculates the recommendation program The preference of each program in list, and be ranked up;
    Push unit (3), interface is pushed for creating, the program is pushed away described according to the preference from high to low Send and be sequentially distributed display from equatorial positions to two extreme directions on interface.
  9. 9. recommend the system of program as claimed in claim 8, it is characterised in that the push unit (3) includes such as lower part:
    Push interface manager module (31), for create push interface, and according to ordering scenario will be to be pushed in be placed in institute Push interface is stated to be shown;
    Recommend program sublist creation module (32), for generating some recommendation program at random according to described recommendation the rendition list List, and preference sequence is carried out to each program recommended in program sublist;
    Switching control module (33), for controlling the switching and push display of different recommendation program sublist.
  10. 10. recommend the system of program as claimed in claim 8, it is characterised in that also include such as lower part:
    Advertising management unit (4), for creating advertisement windows, control advertisement plays, record advertisement plays time, and according to broadcasting Put the duration of advertisement or content correspondingly controls the authority of charge program to open.
CN201711072182.3A 2017-11-03 2017-11-03 A kind of method and system for recommending program Pending CN107659849A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711072182.3A CN107659849A (en) 2017-11-03 2017-11-03 A kind of method and system for recommending program

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711072182.3A CN107659849A (en) 2017-11-03 2017-11-03 A kind of method and system for recommending program

Publications (1)

Publication Number Publication Date
CN107659849A true CN107659849A (en) 2018-02-02

Family

ID=61095658

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711072182.3A Pending CN107659849A (en) 2017-11-03 2017-11-03 A kind of method and system for recommending program

Country Status (1)

Country Link
CN (1) CN107659849A (en)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108600329A (en) * 2018-03-29 2018-09-28 连尚(新昌)网络科技有限公司 For pushed information, the method and apparatus for showing information
CN108737872A (en) * 2018-06-08 2018-11-02 百度在线网络技术(北京)有限公司 Method and apparatus for output information
CN108882035A (en) * 2018-07-02 2018-11-23 北京数码视讯软件技术发展有限公司 A kind of TV guide generation method and system
CN109511015A (en) * 2018-08-10 2019-03-22 腾讯科技(深圳)有限公司 Multimedia resource recommended method, device, storage medium and equipment
CN110309326A (en) * 2019-05-13 2019-10-08 深圳魔耳智能声学科技有限公司 Playlist generation method, device and terminal device based on multimedia file
CN112487278A (en) * 2019-09-11 2021-03-12 华为技术有限公司 Training method of recommendation model, and method and device for predicting selection probability
CN113301394A (en) * 2021-04-30 2021-08-24 当趣网络科技(杭州)有限公司 Voice control method combined with user grade
CN113301417A (en) * 2021-04-30 2021-08-24 当趣网络科技(杭州)有限公司 Voice control method for smart television

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050210520A1 (en) * 2001-04-04 2005-09-22 Microsoft Corporation Training, inference and user interface for guiding the caching of media content on local stores
CN102780920A (en) * 2011-07-05 2012-11-14 上海奂讯通信安装工程有限公司 Television program recommending method and system
US9094236B2 (en) * 2008-06-11 2015-07-28 International Business Machines Corporation Methods, systems, and computer program products for collaborative junk mail filtering
CN106454431A (en) * 2016-10-14 2017-02-22 合肥工业大学 Method and system for recommending television programs

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050210520A1 (en) * 2001-04-04 2005-09-22 Microsoft Corporation Training, inference and user interface for guiding the caching of media content on local stores
US9094236B2 (en) * 2008-06-11 2015-07-28 International Business Machines Corporation Methods, systems, and computer program products for collaborative junk mail filtering
CN102780920A (en) * 2011-07-05 2012-11-14 上海奂讯通信安装工程有限公司 Television program recommending method and system
CN106454431A (en) * 2016-10-14 2017-02-22 合肥工业大学 Method and system for recommending television programs

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108600329A (en) * 2018-03-29 2018-09-28 连尚(新昌)网络科技有限公司 For pushed information, the method and apparatus for showing information
CN108600329B (en) * 2018-03-29 2022-05-03 南京尚网网络科技有限公司 Method and equipment for pushing information and displaying information
CN108737872A (en) * 2018-06-08 2018-11-02 百度在线网络技术(北京)有限公司 Method and apparatus for output information
US11006179B2 (en) 2018-06-08 2021-05-11 Baidu Online Network Technology (Beijing) Co., Ltd. Method and apparatus for outputting information
CN108882035A (en) * 2018-07-02 2018-11-23 北京数码视讯软件技术发展有限公司 A kind of TV guide generation method and system
CN109511015A (en) * 2018-08-10 2019-03-22 腾讯科技(深圳)有限公司 Multimedia resource recommended method, device, storage medium and equipment
CN109511015B (en) * 2018-08-10 2021-12-14 腾讯科技(深圳)有限公司 Multimedia resource recommendation method, device, storage medium and equipment
CN110309326A (en) * 2019-05-13 2019-10-08 深圳魔耳智能声学科技有限公司 Playlist generation method, device and terminal device based on multimedia file
CN112487278A (en) * 2019-09-11 2021-03-12 华为技术有限公司 Training method of recommendation model, and method and device for predicting selection probability
WO2021047593A1 (en) * 2019-09-11 2021-03-18 华为技术有限公司 Method for training recommendation model, and method and apparatus for predicting selection probability
CN113301394A (en) * 2021-04-30 2021-08-24 当趣网络科技(杭州)有限公司 Voice control method combined with user grade
CN113301417A (en) * 2021-04-30 2021-08-24 当趣网络科技(杭州)有限公司 Voice control method for smart television

Similar Documents

Publication Publication Date Title
CN107659849A (en) A kind of method and system for recommending program
CN104298719B (en) Category division, advertisement placement method and the system of user is carried out based on Social behaviors
Abeza et al. Social media scholarship in sport management research: A critical review
US10127563B2 (en) System and method for providing sports and sporting events related social/geo/promo link promotional data sets for end user display of interactive ad links, promotions and sale of products, goods, gambling and/or services integrated with 3D spatial geomapping, company and local information for selected worldwide locations and social networking
CN108197330B (en) Data digging method and device based on social platform
CN103631954B (en) Personalized recommendation method and device
CN107229666B (en) A kind of interest heuristic approach and device based on recommender system
CN106791966B (en) A kind of direct broadcasting room recommended method and system based on modified correlation rule
US20110250939A1 (en) Network-connected golf game improvement, entertainment and monetization system and method
CN109241341A (en) A kind of video display of knowledge based map preferentially recommender system and method
CN101138233A (en) Method for selecting parts of an audiovisual programme and device therefor
CN107657034A (en) A kind of event social networks proposed algorithm of social information enhancing
CN106528851A (en) Intelligent recommendation method and device
CN109360020A (en) A kind of generation method and device of advertisement
US20120089597A1 (en) System and Method for Searching Real Estate Listings Using Imagery
CN109688479A (en) A kind of barrage display methods, barrage display device and barrage display server
CN108255840A (en) A kind of recommendation method and system of song
WO2009117105A2 (en) A widget platform, system and method
CN106454536A (en) Method and apparatus for determining information recommendation degree
CN109862431A (en) A kind of TV programme mixed recommendation method based on MCL-HCF algorithm
CN110287375A (en) The determination method, apparatus and server of video tab
CN107025570A (en) A kind of method in movie theatre advertisement
CN109636477A (en) The method for early warning and device of ullage are launched in a kind of advertisement
CN106943729B (en) A kind of scene regulation method for training aids of virtually riding
CN113469755B (en) Intelligent accurate marketing management system based on advertisement pushing

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20180202