CN102291618B - Preference program recommending device and method - Google Patents
Preference program recommending device and method Download PDFInfo
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- CN102291618B CN102291618B CN201010202019.6A CN201010202019A CN102291618B CN 102291618 B CN102291618 B CN 102291618B CN 201010202019 A CN201010202019 A CN 201010202019A CN 102291618 B CN102291618 B CN 102291618B
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Abstract
The invention discloses a preference program recommending device which comprises a user interface module, a tuner module, a preference analysis module and a recommending module, wherein the user interface module is used for receiving channel indication signals corresponding to television channels; the tuner module is used for receiving digital television signals, and the digital television signals comprise program table information and current program information corresponding to the television channels; the preference analysis module is used for analyzing current program keywords of the current program information so as to determine program types corresponding to the current programs, and accumulating preference weight values corresponding to the determined program types in a program type statistical table, wherein the program type statistical table is used for recording the program types and the preference weight values corresponding to the program types; and the recommending module is used for selecting recommended programs from the program table information according to the program types with higher preference weight values in the program type statistical table, and generating a program detailed list according to the recommended programs.
Description
[technical field]
The present invention relates generally to the recommend method liking program, is particularly to a kind of program commending method of automation, watches the pattern of program to record user and produces the program inventory meeting user's hobby.
[background technology]
Many noises can be accumulated due to traditional anolog TV signals in transmission and processing process cannot remove, and then affect signal quality, reduce the satisfaction of beholder, therefore, along with the progress of video compression technology, be proposed digital to television service, its by the image information of analog format via sampling, quantize, coding, and the digitized processing of modulation etc. and be converted to number format, the compression standard of current international uniform is animation panel of expert group 2 (Moving Picture Experts Group 2, MPEG-2), in the television channel of conventional wireless TV station 6M hertz frequency range, hd-tv (the High-Definition TV of 1080 horizontal scanning lines can be transmitted, HDTV), so the image frame of Digital Television is more finer and smoother than traditional simulated television (525 horizontal scanning line), and color is true to nature, also provide advanced audio effect simultaneously.
Another advantage of digital television service is, in the digital signal that it transmits, except image and sound signal, more can comprise electric program guide (Electronic Program Guide/ElectronicService Guide, EPG/ESG) information, through this mode, user can while receiving digital television signal, also the list of relevant information of TV programme is obtained, to increase the convenience of its viewing TV.But, in digital television system general at present or playout software, only all electric program guides received from TV station all can be shown, although user can consult programs all in the same day or following a few days, but convenience also only terminates in this, if user wants to find out the program wanting to see one still must be spent to turn over to browse around time list of television programmes, its interested program is found in various program, if user is in the numerous area of channel number, this process of looking for then needs to expend the more time, more cause the broadcast time that user misses because being difficult to write down Pgmtime one by one the program that it is liked.Therefore, pole need have a kind of automated method can effectively record its hobby pattern when user watches TV programme at ordinary times, and provides the program meeting this hobby pattern for user's reference according to this, to remove user from and browse, search the puzzlement of program.
[summary of the invention]
One embodiment of the invention provide a kind of preference program recommending device, comprise a User's Interface module, a tuner (tuner) module, hobby analysis module and a recommending module.Above-mentioned User's Interface module corresponds to a channel index signal of a television channel in order to receive; Above-mentioned tuner module is in order to receive a digital television signal, and above-mentioned digital television signal comprises a program table information and corresponds to a current programme information of above-mentioned television channel; Above-mentioned hobby analysis module analyzes at least one current program keyword of above-mentioned current programme information to determine the program category corresponding to a current program, and accumulative one corresponding to above-mentioned program category likes weighted value in a program category statistical form, above-mentioned program category statistical form is in order to record some program categories and its each self-corresponding hobby weighted value; Above-mentioned recommending module in order to pick out at least one recommended program according to the program category in above-mentioned program category statistical form with higher hobby weighted value from above-mentioned program table information, and produces a program inventory according to above-mentioned recommended program.
Another embodiment of the present invention provides a kind of hobby program commending method, comprises following process step: receive the channel index signal corresponding to a television channel from a user; Receive a digital television signal through a tuner, above-mentioned digital television signal comprises a program table information and corresponds to a current programme information of above-mentioned television channel; Analyze at least one current program keyword of above-mentioned current programme information to determine the program category corresponding to a current program; An accumulative hobby weighted value corresponding to above-mentioned program category in a program category statistical form, above-mentioned program category statistical form is in order to record some program categories and its each self-corresponding hobby weighted value; Program category according to having higher hobby weighted value in above-mentioned program category statistical form picks out at least one recommended program from above-mentioned program table information; A program inventory is produced according to above-mentioned recommended program; And export above-mentioned program inventory to a display unit.
For having further understanding to object of the present invention, structural feature and function thereof, accompanying drawing is hereby coordinated to be described in detail as follows:
[accompanying drawing explanation]
Fig. 1 is the preference program recommending device according to one embodiment of the invention.
Fig. 2 is the program lists of keywords according to one embodiment of the invention.
Fig. 3 is the recommended program ranking method according to one embodiment of the invention.
Fig. 4 is the flow chart of the hobby program commending method according to one embodiment of the invention.
[embodiment]
Fig. 1 is the preference program recommending device according to one embodiment of the invention.In preference program recommending device 100, User's Interface module 110 provides user one operation-interface to control the running of preference program recommending device 100, it is mainly in order to receive the channel index signal that user inputs, and this channel index signal corresponds to the television channel of user for viewing, user can pass through remote controller to produce channel index signal, or can pass through and directly press the action button (not illustrating) be positioned on preference program recommending device 100 shell and produce channel index signal.Tuner module 120, in order to receive the hybrid digital signal of all channels, then removes to separate frequently this hybrid digital signal with the digital television signal corresponding to the television channel obtaining above-mentioned user and select according to channel index signal.Generally speaking, digital television signal is with video (vedio) data, audio frequency (audio) data and data (data) data, Data Data then includes the current programme information of program table information, this television channel, such as: programm name, programme content and channel information etc., wherein program table information refers to electric program guide (EPG/ESG) information, it, with at present to all programme informations in following several days, consults program for user.
After obtaining the digital television signal of this television channel, hobby analysis module 130 analyzes the current program keyword of entrained with in current programme information again, such as: programm name-" Doraemon ", programme content-" cartoon, Doraemon the 7th collects (the large prophesy of Doraemon) ", channel information-" young platform of eastern gloomy children " etc.Through the analysis to program keyword, can determine the program category belonging to this program, program category can comprise: the predefined type such as cartoon, news, physical culture, drama, cuisines, tourism.Then, hobby analysis module 130, again according to analyzing the program category drawn, adds up the hobby weighted value corresponding to this program category in program category statistical form.Wherein, program category statistical form is in order to record each program category and its each self-corresponding hobby weighted value, and when hobby weighted value is higher, then representing this program category is that the favor program marking machine rate of user is higher.Finally, recommending module 140 picks out corresponding program according to the program category in program category statistical form with higher hobby weighted value from program table information, then is a program inventory by the program picked out arrangement.This program inventory can be listed by the interested program of user's possibility in current time to following a few hours or a couple of days, in addition, program inventory can comprise the parameter needed for the broadcasting of broadcasting channel, programm name, program play times, program abstract, program category, recommendation degree and other program.
In one embodiment, the some keywords corresponding to predefined current program category respectively can be stored in a program lists of keywords by hobby analysis module 130 further, and the decision of above-mentioned program category obtains via the program category corresponding with current program keyword of the some keywords in contrast program lists of keywords.As shown in Figure 2, program lists of keywords can respectively with the keyword of different its correspondences of program category record, with the example that above-mentioned programm name is " Doraemon ", then can find that the keyword of this program all appears in the program of " cartoon " type via the contrast of keyword, therefore determine that program category belonging to it is for " cartoon ".Preference program recommending device 100 can comprise a keyword database (not illustrating) in addition, in order to there to be the concept realizing program lists of keywords, effectively sets up out program lists of keywords with the data management of database and maintenance function.
The analysis of program category is except the mode that can pass through the contrast of above-mentioned keyword is carried out, in another embodiment, preference program recommending device 100 can comprise a program classification rule database (not illustrating), in order to store the custom program classification rule of user, such as: " occurring the program of non-news type while of the keyword of physical culture " is classified as sports cast or " program of satellite TV's film platform " is all directly classified as drama programs.User can use structured logic grammer (such as: the query statement form of MySQL or SQL) to carry out appointed program classifying rules, and be stored to program classification rule database through the program classification rule that User's Interface module 110 is specified, allow hobby analysis module 130 carry out the analysis of program category according to this program classification rule.
Because the analytical procedure of above-mentioned program category and the accumulating step of hobby weighted value carry out for the real interested program of user, therefore, in order to avoid user's rapid translating television channel, and really is dropped in the situation of a certain program, the analytical procedure of above-mentioned program category and the accumulating step of hobby weighted value can be designed to, just carry out when the accumulated view time resting on a certain program arrives a default value, that is, hobby analysis module 130 can add up the viewing time length that tuner module 120 is locked in a certain program of a certain television channel further, and when this accumulated view time is greater than default value, just perform the analytical procedure of program category and the accumulating step of hobby weighted value.For example, this default value can be set to 1/4 or 1/3 of the total broadcast time of this program.
Finally, before the above-mentioned program inventory of output, hobby analysis module 130 can more further according to the recommended program in the sequencing of program broadcasting time sequence program inventory, so as user according to the current time with reference to this program inventory, and select its desired program watched.In addition, when there being two or more time to have more than one recommended program in program inventory, the program of time upper first group of overlap can being as the criterion, producing the inventory of many parts; Or can in time upper second group and program overlapping afterwards, the program category higher according to the information singles hobby weighted value of program category statistical form sorts, if and when there is not the hobby higher program category of weighted value in program inventory, then the recommended program in random selecting program inventory sorts.Fig. 3 is the recommended program ranking method according to one embodiment of the invention, in this embodiment, the current time is 00:15, and the recommended program that the present invention picks out has: program A [00:00 ~ 01:00], program B [00:00 ~ 01:00], program C [01:00 ~ 02:00], program D [02:00 ~ 03:00], program E [02:00 ~ 03:00].Because program A is overlapping with the broadcast slot of program B, the present invention can produce two parts of different program inventory according to program A and program B, as shown on the left side of figure 3; Or the present invention can list all recommended programs, as shown on the right side of Fig. 3 according to the period.
In one embodiment, preference program recommending device 100 can comprise a playback engine module (not illustrating) again, in order to process the digital television signal that tuner module 120 receives.Playback engine module can comprise a demodulator (not illustrating), video processor (not illustrating) and an audio process (not illustrating), wherein tuner module 120 is after receiving digital television signal, further digital television signal can be carried out the modulation process such as frequency reducing, mixing, demodulator, again by the digital television signal solution modulation after modulation process, then transfers to video processor and audio process process image and voice signal respectively.Preference program recommending device 100 can comprise a display unit (not illustrating) and a loudspeaker arrangement (not illustrating) again, to receive the signal from video processor and audio process, wherein display unit can receive program inventory that recommending module 140 produces again and by display give user and watch.Or in another embodiment, above-mentioned display unit and loudspeaker arrangement can be the device outside independent of preference program recommending device 100, connect to transmit image and voice signal through wireless or wired mode.It is noted that the function of the components such as above-mentioned demodulator, video processor and audio process is for usually knowing that the knowledgeable is known and beyond category of the present invention in this field, therefore do not repeat at this.
Fig. 4 is the flow chart of the hobby program commending method according to one embodiment of the invention.The execution step of this hobby program commending method is as follows: first, the channel index signal (step S410) corresponding to a television channel is received from user, this channel index signal corresponds to the television channel of user for viewing, and user can pass through remote controller or directly presses and is positioned at action button on preference program recommending device 100 shell to produce this channel index signal.Then, again through tuner module 120 receiving digital television signal (step S420), this digital television signal comprises program table information and corresponds to the current programme information of above-mentioned television channel, wherein program table information refers to electric program guide information, it with all programme informations arrived at present in following several days, and includes programm name, programme content and channel information etc. in current programme information.After receiving digital television signal, analyze at least one keyword of current programme information to determine the program category (step S430) corresponding to a current program, further illustrate, the program category that some keywords in this step contrast program lists of keywords are corresponding with the keyword of current program, wherein program lists of keywords is in order to store the some keywords corresponding to predefined program category respectively.Then, accumulative hobby weighted value (step S440) corresponding to above-mentioned program category in program category statistical form, above-mentioned program category statistical form is in order to record each program category and its each self-corresponding hobby weighted value, hobby weighted value is higher, and representing this program category is that the favor program marking machine rate of user is higher.From program table information, pick out at least one recommended program (step S450) according to the program category in program category statistical form with higher hobby weighted value, and produce program inventory (step S460) according to picked out recommended program.Finally, then by program inventory display unit (step S470) is exported to.
In one embodiment, above-mentioned steps S430 can change and decides current program category by the program classification rule custom according to user, to increase the elasticity that program category is analyzed.In addition, hobby program commending method can comprise the viewing time of accumulative current program again, and when viewing time is greater than a default value, just perform above-mentioned steps S430 and S440, use the situation avoiding user's rapid translating television channel and really to be dropped in a certain program.In another embodiment, can to sort the recommended program picked out according to the sequencing of program broadcasting time further at above-mentioned steps S460, and produce program inventory with the recommended program after sequence, so that user with reference to this program inventory, selects the program of its desired viewing according to the current time.Should be noted, hobby program commending method of the present invention is applicable to any device with digital television signal process, such as: on teaching machine, box and digital television stick etc. are external in the device outside display unit or integrate the Digital Television broadcasting device of digital television signal processing capacity.
Claims (6)
1. a preference program recommending device, is characterized in that, it comprises:
One User's Interface module, in order to receive the channel index signal corresponding to a television channel;
One tuner module, in order to receive a digital television signal, above-mentioned digital television signal comprises a program table information and corresponds to a current programme information of above-mentioned television channel;
One hobby analysis module, analyze at least one current program keyword of above-mentioned current programme information to determine the program category corresponding to a current program, and accumulative one corresponding to above-mentioned program category likes weighted value in a program category statistical form, above-mentioned program category statistical form is in order to record some program categories and its each self-corresponding hobby weighted value, this hobby analysis module is more in order to a viewing time of accumulative above-mentioned current program, and when above-mentioned viewing time is greater than a default value of this current program total broadcast time, perform the analytical procedure of a current program category and the accumulating step of above-mentioned hobby weighted value, and
One recommending module, in order to pick out at least two recommended programs according to the program category in above-mentioned program category statistical form with higher hobby weighted value from above-mentioned program table information, to sort above-mentioned recommended program according to the sequencing of program broadcasting time, and when having at least both program broadcasting time to be identical in above-mentioned recommended program after sorting, produce several program inventory, the above-mentioned recommended program that wherein program broadcasting time is identical is present in different several program inventory above-mentioned respectively.
2. preference program recommending device as claimed in claim 1, it is characterized in that, the some keywords corresponding to predefined above-mentioned program category respectively are more stored in a program lists of keywords by above-mentioned hobby analysis module, and wherein above-mentioned current program category obtains via above-mentioned some keywords program category corresponding with the above-mentioned current program keyword of above-mentioned current programme information in the above-mentioned program lists of keywords of contrast.
3. preference program recommending device as claimed in claim 1, is characterized in that, above-mentioned hobby analysis module more determines above-mentioned current program category in order to a program classification rule custom according to a user.
4. like a program commending method, it is characterized in that, it comprises:
The channel index signal corresponding to a television channel is received from a user;
Receive a digital television signal through a tuner, above-mentioned digital television signal comprises a program table information and corresponds to a current programme information of above-mentioned television channel;
Analyze at least one current program keyword of above-mentioned current programme information to determine the program category corresponding to a current program;
An accumulative hobby weighted value corresponding to above-mentioned program category in a program category statistical form, above-mentioned program category statistical form is in order to record some program categories and its each self-corresponding hobby weighted value;
One viewing time of accumulative above-mentioned current program, and when above-mentioned viewing time is greater than a default value of this current program total broadcast time, perform the analytical procedure of a current program category and the accumulating step of above-mentioned hobby weighted value;
Program category according to having higher hobby weighted value in above-mentioned program category statistical form picks out at least two recommended programs from above-mentioned program table information;
To sort above-mentioned recommended program according to the sequencing of program broadcasting time;
When having in the above-mentioned recommended program after sorting that at least both program broadcasting time is identical, produce several program inventory, the above-mentioned recommended program that wherein program broadcasting time is identical is present in different several program inventory above-mentioned respectively; And
Export above-mentioned program inventory to a display unit.
5. like program commending method as claimed in claim 4, it is characterized in that, it also comprises the some keywords corresponding to predefined above-mentioned program category is respectively stored in a program lists of keywords, and wherein above-mentioned current program category obtains via the program category corresponding with the above-mentioned current program keyword of above-mentioned current programme information of above-mentioned some keywords in the above-mentioned program lists of keywords of contrast.
6. like program commending method as claimed in claim 4, it is characterized in that, it also comprises a program classification rule custom according to above-mentioned user and determines above-mentioned current program category.
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| CN201010202019.6A CN102291618B (en) | 2010-06-18 | 2010-06-18 | Preference program recommending device and method |
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| CN201010202019.6A CN102291618B (en) | 2010-06-18 | 2010-06-18 | Preference program recommending device and method |
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| CN102291618B true CN102291618B (en) | 2015-01-07 |
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| CN102695078A (en) * | 2012-05-31 | 2012-09-26 | 四川长虹电器股份有限公司 | TV program interaction system |
| CN103442001B (en) * | 2013-08-22 | 2019-05-17 | 百度在线网络技术（北京）有限公司 | Information recommendation method, device and server |
| CN103648031B (en) * | 2013-11-15 | 2017-01-25 | 乐视致新电子科技（天津）有限公司 | Program recommending method and apparatus for smart television |
| CN103647989A (en) * | 2013-11-15 | 2014-03-19 | 乐视致新电子科技（天津）有限公司 | Program recommending method and apparatus for smart television |
| CN105306972A (en) * | 2014-06-26 | 2016-02-03 | 中兴通讯股份有限公司 | Television program recommending method and server |
| CN104079997A (en) * | 2014-07-10 | 2014-10-01 | 东莞中山大学研究院 | Recommending system for digital television personalized programs and method thereof |
| TWI558188B (en) * | 2014-07-30 | 2016-11-11 | Chunghwa Telecom Co Ltd | Personalized Program List Generation Method and System |
| CN104410906A (en) * | 2014-11-18 | 2015-03-11 | 北京国双科技有限公司 | Detection method and detection device for video playing behavior |
| CN104581226A (en) * | 2014-12-12 | 2015-04-29 | 乐视致新电子科技（天津）有限公司 | Method and device for recommending programs by aiming at current live stream |
| CN104469429A (en) * | 2014-12-22 | 2015-03-25 | 无锡天脉聚源传媒科技有限公司 | Method and device for pushing program |
| CN104780462A (en) * | 2015-04-09 | 2015-07-15 | 天脉聚源(北京)传媒科技有限公司 | Sorting method and device for channel icons |
| CN105141982B (en) * | 2015-08-13 | 2019-04-26 | 天脉聚源(北京)传媒科技有限公司 | A kind of method and device for the EPG generating popular program |
| CN105187916A (en) * | 2015-09-07 | 2015-12-23 | 成都杰迈科技有限责任公司 | Set-top box program ranking method |
| CN105718510B (en) * | 2016-01-12 | 2019-06-18 | 海信集团有限公司 | A kind of multi-medium data recommended method and device |
| WO2017128058A1 (en) * | 2016-01-26 | 2017-08-03 | 白宏伟 | Information pushing method for use during automatic video pushing, and pushing system |
| WO2017128057A1 (en) * | 2016-01-26 | 2017-08-03 | 白宏伟 | Method for sending technical usage data of video push technology, and push system |
| WO2017128059A1 (en) * | 2016-01-26 | 2017-08-03 | 白宏伟 | User preference-based automatic video pushing method, and pushing system |
| CN107147925A (en) * | 2017-05-05 | 2017-09-08 | 中广热点云科技有限公司 | The based reminding method and system of a kind of serial programme televised live |
| CN109104622A (en) * | 2017-06-20 | 2018-12-28 | 深圳大森智能科技有限公司 | Video recommendation method, smart television and computer readable storage medium |
| CN107483984A (en) * | 2017-08-31 | 2017-12-15 | 武汉斗鱼网络科技有限公司 | A kind of live method for pushing and direct broadcast service platform |
| CN111935526A (en) * | 2019-05-13 | 2020-11-13 | 百度在线网络技术（北京）有限公司 | Video display method, system and storage medium thereof |
| CN115499710A (en) * | 2022-09-19 | 2022-12-20 | 北京奇艺世纪科技有限公司 | Playlist generation method and device, electronic equipment and storage medium |
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