CN101112092A - Auxiliary user control in recommending device - Google Patents
Auxiliary user control in recommending device Download PDFInfo
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- CN101112092A CN101112092A CNA2005800473273A CN200580047327A CN101112092A CN 101112092 A CN101112092 A CN 101112092A CN A2005800473273 A CNA2005800473273 A CN A2005800473273A CN 200580047327 A CN200580047327 A CN 200580047327A CN 101112092 A CN101112092 A CN 101112092A
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Abstract
A method and arrangement for modifying settings of a television program recommender (200) displays the rating (recommended or not recommended) for a selected television program, and also displays profile parameters of the user in a bar graph-type display in which the value of the profile parameters in each of a plurality of categories are shown as the positions of profile parameter icons (302-308), while the television program recommender further shows icons (312-318) representing threshold levels in each category above which the selected television program would be recommended. The user is enabled to change the values of the profile parameters in at least one of the categories by moving the relevant profile parameter icon (302-308) such that, for example, it reaches, or passes, the respective threshold level icon (312-318). The television program recommender (200) then recalculates the rating and the threshold levels to correspond with the desires of the user. As such, the user is able to modify the profile parameters of the television program recommender (200) such that it recommends, or does not recommend, programs in accordance with the desires of the user.
Description
Theme of the present invention relates to and is used for programs recommended recommended device of watching to the user.
In recommender technique, difference to some extent usually between explicit and implicit recommender.In explicit recommender, the user import clearly his/her hobby for the different content classification.For example, he can show that he enjoys a lot action movie by giving the high mark of " action movie " class, and the specific channel of disliking for him then comes the surface by the mark to its low (or negative).Then, for new program, such other mark is merged to determine recommender score.In implicit recommender, user itself does not provide his/her feature scores, but learning system is used to derive these marks from the example (program that the user likes or dislikes) of training.
The major advantage of explicit recommender is that the user is in control completely.The major advantage of implicit recommender is that system uses easily.
Though explicit recommender is in completely in the control user, not to know how to change grade especially for different classification users, finally have influence on which program with recommended and which is not recommended.For example, if certain TV program is not recommended, but do not know which attribute should provide higher grade and should provide high what grade so that this program become can be recommended.
When being the grade that sets a property in explicit recommender and implicit recommender, a target of the present invention give the user with auxiliary.
This target realizes that by the method that is used to control program recommender the step of this method comprises: generate with preserve various different classes of in the relevant user profile parameter program being liked and disliked; Grade based on the described various selected programs of described profile calculation of parameter in different classes of; Whether the program of determining described selection is recommended; In each of described various classification, calculate the thresholding mark, be higher than described thresholding mark then the program of described selection with recommended; Whether the program that shows described selection is recommended, described profile parameter and described thresholding mark; Make described user can with respect in the described thresholding mark at least one adjust in the described profile parameter corresponding at least one, recommended or not recommended with program and other similar program of changing described selection; Recomputate described grade and described thresholding mark according to described at least one adjusted profile parameter.
This target further realizes at the equipment that is used for controlling program recommender, and this equipment comprises and is used for generating and preserves that various different classes of relevant users like program and the device of the profile parameter disliked; Be used for device based on the grade of described various different classes of selected programs of described profile calculation of parameter; Whether the program that is used for determining described selection recommended device; Each that is used in described various classification calculated the device of thresholding mark, be higher than described thresholding mark then the program of described selection with recommended; Be used to show whether the program of described selection is recommended, the device of described profile parameter and described thresholding mark; Be used for making described user to adjust corresponding at least one device in the described profile parameter about at least one of described thresholding mark, whether recommended with program and other similar program of changing described selection; Be used for recomputating the device of described grade and described thresholding mark according to described at least one adjusted profile parameter.
The user can directly adjust the profile parameter of preservation in mode intuitively like this, obtains the result that wants, promptly specific program or similarly program is recommended or not recommended.
In specific implementations, described profile parameter and described thresholding mark are shown as icon separately in the figure of bar graph type, and wherein the profile parameter icons can be moved by described user, the new value of the described profile parameter of mobile representative of profile parameter icons.
Like this by in the mobile profile parameter icons specific one, the user can directly influence the specific program or the similar grade of program.
To occur hereinafter for the above-mentioned and additional target and the idea of advantage, the present invention will be described with reference to the accompanying drawings, wherein:
Fig. 1 is the schematic block diagram in conjunction with television receiver of the present invention;
Fig. 2 is the block diagram of television program recommender;
Fig. 3 A-3D shows the diagram of demonstration from the display of result's adjustment of television program recommender; With
Fig. 4 shows the flow chart of the inventive method.
Fig. 1 illustrates the schematic block diagram in conjunction with the television receiver 100 of theme of the present invention.Television receiver 100 receptions and demonstration are from the TV programme of an information source.In this example, antenna 110 is illustrated as information source.Yet, it will be appreciated that TV programme can be from a plurality of information sources any one, described a plurality of information sources for example are set-top box, DVD player, satellite or the like.Tuner 120 is shown as and is connected to antenna 110, is used to be tuned to the specific channel that carries the expectation TV programme.Tuner 120 offers audio signal processor 130 with audio signal, and described audio signal processor 130 sends to loud speaker 140 with the voice signal of correspondence.In addition, tuner 120 offers video signal preprocessor 150 with vision signal, and described video signal preprocessor offers display 160 with the shows signal of correspondence.The operation of controller 170 control tuners 120 and Voice ﹠ Video signal processor 130 and 150.Controller 170 further offers control signal at screen and shows (OSD:on-screen) processor 180, and it generates osd signal and be used for showing various graphic symbol on display 160.Osd signal is provided for video switch 190 with the shows signal from video signal preprocessor 150, is used for graphic symbol is superimposed to by the represented shown image of shows signal.
Television receiver 100 further comprises television program recommender 200, is used for the recommending television to the user.Television program recommender 200 can be connected to database, and described database includes about launching or in the information of the TV programme that will be launched in the future.This as illustrating to the connection of tuner 120, is used to receive the metadata of launching with TV signal in Fig. 1, for example be the form with electronic program guides (EPG).
As shown in Figure 2, television program recommender 200 can be used as any computing equipment and implements, and such as personal computer or work station, comprises such as the processor 202 of CPU (CPU) and such as the memory 204 of RAM and/or ROM.Television program recommender 200 can also be implemented as application-specific integrated circuit (ASIC) (ASIC), for example in set-top terminal or display (not shown).In addition, television program recommender 200 can be used as any obtainable television program recommender and implements, such as the Tivo from the Sunnyvale of CA, the commercially available TIVO of Inc.
TMSystem, the perhaps television program recommender described in following patent application or their combination in any: in application on December 17th, 1999, u.s. patent application serial number is 09/466,406 " Method and Apparatus for RecommendingTelevision Programming Using Decision Trees "; Application on February 4th, 2000, u.s. patent application serial number is 09/498,271 " Adaptive TV ProgramRecommender "; Application on July 27th, 2000, u.s. patent application serial number is 09/627,139 " Three-Way Media Recommendation Method andSystem ", each all is combined in this by reference, herein as revising to finish feature of the present invention and function.
Usually, television program recommender 200 implicitly or explicitly exploitation about user's the profile parameter of watching custom, be kept in the memory 204, the TV programme that exploitation is implicitly promptly watched by analysis user is also developed this profile parameter, this profile parameter comprises television channel, type, man/leading lady, the time in one day etc., and the explicitly exploitation is promptly carried out in response to user direct access inquiry is answered.In arbitrary situation, television program recommender 200 makes up various profile parameters in different classes of, and uses these profile parameters to calculate the grade of TV programme in the future.Yet for all automatic systems, television program recommender 200 is not absolute errorless.Such situation is usually arranged, and the TV programme that the user wants to watch does not have recommended, or the user does not want that the TV programme of watching is recommended.Theme of the present invention is to be conceived to when revising being provided with of television program recommender 200, and gives the user more direct and control intuitively.
Especially, for the TV programme of any desired of from database (EPG), calling, television program recommender 200 can based in memory 204, preserved various different classes of in user's profile parameter calculate grade.If the user wants, television program recommender 200 generates graphical display program title is shown, and whether it is recommended to the user, and the profile parameter in a plurality of classification.For example, Fig. 3 A shows the such demonstration of film " terminator II " of acting the leading role for Arnold Schwarzenegger.Based on user's profile parameter, television program recommender 200 does not recommend this film to watch for the user.Yet suppose that for example the user finds that these film types want.Present problem is the setting how user could revise television program recommender 200, so that can recommend the film of these types in the future.
As shown in Fig. 3 A, each classification (for example channel, type, performer, time in one day) comprise profile parameter icons 302,304, the value of the profile parameter in the described classification of 306 and 308 expressions, and be the threshold target level separately 312,314 that calculates of all categories, 316 and 318, be higher than this thresholding program with recommended.Each icon 302-308 can move to any other position by the user along bar separately, for example uses cursor control (not shown).If the user wants such film, then the user selects in the icon one, for example is channel, and mobile profile parameter icons 302, make it and threshold target level 312 be on the same position, to indicate this program be (recommendation) wanted thereby the profile parameter icons is shown as 302 '.Television program recommender 200 recomputates remaining threshold level 314-318 based on the grade of wanting of user's indication then, move other threshold target level (314 ', 316 ', 318 '), make them also be on the same position, as shown in Fig. 3 B with the profile parameter icons 304-308 that is left.
Substitute and only to move on to its threshold target level 312-318 separately one among the profile parameter icons 302-308, the user can be in two steps or more multistep come part to adjust a plurality of profile parameter icons.For example, as shown in Fig. 3 C, the user increases to half that position 302 ' is similar to threshold target level 312 with " channel " profile parameter icons 302.Television program recommender 200 is adjusted to 314 ', 316 ', 318 ' with remaining threshold target level then.Then, as shown in Fig. 3 D, for example the user can increase to 306 ' with the grade of " performer " profile parameter icons, be in same position with the threshold target level of revising 316 ', and television program recommender 200 is adjusted to 312 ' with other threshold target level, 314 " and 318 ", the profile parameter icons 302 ', 304 and 308 in they and the various classification is in same position like this.
Fig. 4 shows the flow chart of explanation the inventive method.From beginning 400, the response of ad hoc querying is generated user's profile parameter based on the watch custom or the user in user's past in step 402 television program recommender 200.In step 404, television program recommender 200 is preserved this profile parameter in memory 204.In step 406, it checks whether the user has selected program.If no, flow chart is looped back to step 406.If the user has selected program, CPU 202 in step 408 based on the grade of the selected program of being preserved of profile calculation of parameter.In addition, in step 410, the threshold target level that CPU 202 calculates in each profile parameter classification.Next step, in step 412, television program recommender 200 display levels, threshold target level and profile parameter.In step 414, check whether the user has changed any profile parameter.If not, flow chart is looped back to step 406.If, in step 416, change the profile parameter be stored in the memory 204, and flow chart is looped back to step 408.
Thereby the user can adjust the profile parameter of television program recommender 200, and will to recommend now be the program category that wanting of indicating of user watched to television program recommender at least like this.
Although the present invention describes with reference to specific implementations, can be contemplated that multiple variation also can be used, and not deviate from as the spirit and scope of the present invention as illustrated in claims.Specification and accompanying drawing are considered to schematic mode thus, rather than are intended to limit the protection range of appended claim.When explaining appended claim, should be understood that:
A) word " comprises " element that is not precluded within unlisted other in the claim that provides or the existence of action;
B) place word " " before certain element or " one " not to get rid of and have a plurality of described elements;
C) any reference marker in the claim does not limit its protection range;
D) several " devices " may be represented by identical item or hardware or software implementation structure or function;
E) any disclosed element can comprise hardware components (for example, comprising discrete and integrated electronic circuit), software section (for example, computer program), and their combination in any;
F) hardware components can be made of one in the analog-and digital-part or both;
G) further part can be combined or be decomposed into to any disclosed equipment or its part, unless propose especially in addition; With
H) unless otherwise indicated, action does not have the requirement of particular order.
Claims (6)
1. method that is used to control program recommender (200) comprises step:
Generate (402) and preservation (404) various different classes of in the relevant user profile parameter program being liked and disliked;
Grade based on the described various selected programs of described profile calculation of parameter (408) in different classes of;
Whether the program of determining (408) described selection is recommended;
In each of described various classification, calculate thresholding mark (410), be higher than described thresholding mark then the program of described selection with recommended;
Whether the program that shows (412) described selection is recommended, described profile parameter and described thresholding mark;
Make described user to adjust described profile parameter corresponding at least one (414) about in the described thresholding mark at least one, recommended or not recommended with program and other similar program of changing described selection;
Recomputate described grade (408) and described thresholding mark (410) according to described at least one adjusted profile parameter.
2. as the method in the claim 1, wherein said profile parameter and described thresholding mark in the figure of bar graph type, be shown as separately icon (302-308,312-318).
3. as the method in the claim 2, wherein profile parameter icons (302-308) can be moved by described user, each new value of the described profile parameter of the mobile representative of profile parameter icons (302-308) (302-308).
4. equipment that is used to control program recommender comprises:
Be used for generating (202) and be kept at that various different classes of relevant users like program and the device of the profile parameter disliked;
Be used for device based on the grade of described various different classes of selected programs of described profile calculation of parameter (202);
Whether the program that is used to determine (202) described selection recommended device;
Be used for calculating the device of (202) thresholding mark in described various classification, be higher than described thresholding mark then the program of described selection with recommended;
Be used for showing whether the program of (200,180,190,160) described selection is recommended, the device of described profile parameter and described thresholding mark;
Be used to make that described user can (170,200,180,190,160) adjust corresponding at least one device in the described profile parameter about in the described thresholding mark at least one, recommended or not recommended with program and other similar program of changing described selection;
Be used for recomputating the device of (202) described grade and described thresholding mark according to described at least one adjusted profile parameter.
5. as the equipment in the claim 4, wherein said display unit (200,180,190,160) with described profile parameter and described thresholding mark in the figure of bar graph type, be shown as separately icon (302-308,312-318).
6. as the equipment in the claim 5, wherein said equipment further comprises the device that is used for being moved by described user (170) described profile parameter icons (302-308), the new value of the profile parameter of the described profile parameter icons of the mobile representative of profile parameter icons (302-308) (302-308).
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA2005800473273A CN101112092A (en) | 2005-05-09 | 2005-05-09 | Auxiliary user control in recommending device |
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| Application Number | Priority Date | Filing Date | Title |
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| CNA2005800473273A CN101112092A (en) | 2005-05-09 | 2005-05-09 | Auxiliary user control in recommending device |
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| CN101112092A true CN101112092A (en) | 2008-01-23 |
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| CNA2005800473273A Pending CN101112092A (en) | 2005-05-09 | 2005-05-09 | Auxiliary user control in recommending device |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110399185A (en) * | 2018-04-24 | 2019-11-01 | 华为技术有限公司 | A kind of method, terminal and server adjusting intelligent recommendation |
| CN111385659A (en) * | 2018-12-29 | 2020-07-07 | 广州市百果园信息技术有限公司 | Video recommendation method, device, equipment and storage medium |
-
2005
- 2005-05-09 CN CNA2005800473273A patent/CN101112092A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110399185A (en) * | 2018-04-24 | 2019-11-01 | 华为技术有限公司 | A kind of method, terminal and server adjusting intelligent recommendation |
| US11442751B2 (en) | 2018-04-24 | 2022-09-13 | Huawei Technologies Co., Ltd. | Method for adjusting intelligent recommendation, terminal, and server |
| CN111385659A (en) * | 2018-12-29 | 2020-07-07 | 广州市百果园信息技术有限公司 | Video recommendation method, device, equipment and storage medium |
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Open date: 20080123 |