Method and system for generating a recommendation for at least one further content item

• US 10,382,723 B2
• Filed: 11/24/2006
• Issued: 08/13/2019
• Est. Priority Date: 11/30/2005
• Status: Active Grant

• Current Assignee: Koninklijke Philips N.V.
• Original Assignee: Sisvel S.p.A. (Fineur International S.A.)
• Inventors: Pronk, Serverius Petrus Paulus, Proidl, Adolf
• Primary Examiner(s): Kim, William J
• Application Number:
  US12/095,006
• Publication Number:
  US 20080295133A1
• Time in Patent Office: 4,645 Days
• Field of Search: 725 46, 725 47
• CPC Class Codes: H04N 21/4147 PVR [Personal Video Recorder] H04N5/76 takes precedence ; arrangements for broadcast with accumulation-type receivers H04H20/40
• CPC Class Codes: H04N 21/4312 involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations
• CPC Class Codes: H04N 21/4314 for fitting data in a restricted space on the screen, e.g. EPG data in a rectangular grid
• CPC Class Codes: H04N 21/4532 involving end-user characteristics, e.g. viewer profile, preferences monitoring of user activities for profile generation for accessing a video database G06F16/739; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/458 Scheduling content for creating a personalised stream, e.g. by combining a locally stored advertisement with an incoming stream; Updating operations, e.g. for OS modules ; time-related management operations arrangements for replacing or switching information during the broadcast or during the distribution H04H20/10
• CPC Class Codes: H04N 21/4668 for recommending content, e.g. movies
• CPC Class Codes: H04N 7/163 by receiver means only

Abstract

Method and system (100) for generating a recommendation for at least one further content item is disclosed. A personalized content channel is enabled to play out a plurality of content items (programs) complying with multiple selection criteria. At least one further content item is recommended by a recommender engine (107), the at least one further content item complying with fewer of the multiple criteria. In an embodiment, at least one of the at least one recommended further content item is selected and the multiple selection criteria are adjusted by a scheduler (109) on the basis of at least one characteristic of the selected recommended further content item.

Claims

1. A method, operable in a processor connected to a recommender engine, for generating a recommendation for at least one further content item, the processor operatively coupled to a storage device for storing said multiple criteria and to an output rendering device for displaying recommendations of content items pertaining to a personalized content channel, the processor executing the steps of:

causing said processor to use a filter with multiple selection criteria for providing content items associated with said personalized content channel, wherein each of said content items complies with all of the multiple selection criteria and wherein at least one of said multiple criteria stored in said storage device are associated with a characteristic of said personalized content channel being an obligatory selection criteria;

the recommender engine generating the recommendation for the at least one further content item, wherein the at least one further content item complies with fewer of the multiple selection criteria than available in said filter, wherein compliance with fewer of the multiple selection criteria allows the recommendation to be generated by the recommender engine requiring reduced computation;

rating said recommendation based on a measure of closeness, said measure of closeness being determined based solely on a number of selection criteria to which the at least one further content item satisfies closest to a number of said multiple criteria;

displaying said rated recommendation on said output rendering device, and

displaying real-time feedback indicating the number of additional content items per time period that would pass the filter as a result of selecting the rated recommendation;

selecting at least one of said further content items; and

playing out on said output rendering device said selected further content item.

2. The method according to claim 1, further comprising the step of allowing a user to indicate which of the multiple selection criteria should be used to generate the recommendation for the at least one further content item.

3. The method according to claim 1, further comprising the steps of:

selecting at least one of said at least one recommended further content item;

adjusting said multiple selection criteria on the basis of at least one characteristic of said selected at least one recommended further content item.

4. The method according to claim 3, wherein adjusting said multiple selection criteria includes the step of:

adjusting the content of said personalized content channel to include said at least one selected recommended further content item for play out on said personalized content channel.

5. The method according to claim 3, wherein adjusting said multiple selection criteria includes the step of:

adjusting the content of said personalized content channel to include content items having said at least one characteristic of said selected at least one recommended further content item for play out on said personalized content channel.

6. The method according to claim 3, wherein the step of selecting at least one of said at least one recommended further content item comprises the steps of:

providing a representation of said at least one recommended further content item;

selecting said representation to select said at least one recommended further content item.

7. The method according to claim 6, wherein the representation comprises said at least one characteristic of said at least one recommended content item.

8. The method according to claim 3, wherein the method further comprises the steps of:

selecting at least one characteristic of a specific one of the content items during play out of said specific one of the content items on said personalized content channel;

adjusting said multiple selection criteria such that content items having said selected characteristic are excluded from play out on said personalized content channel.

9. The method according to claim 3, wherein the step of selecting at least one of said at least one recommended further content item is carried out by the user.

10. The method according to claim 3, wherein the step of selecting at least one of said at least one recommended further content item includes the step of:

automatically selecting at least one recommended further content item having the highest recommendation.

11. A system for generating a recommendation for at least one further content item, the system comprising:

a filter with multiple criteria for providing content items associated with a personalized content channel, wherein each of said content items complies with all of the multiple criteria and wherein at least one of said multiple criteria being associated with a characteristic of said personalized content channel being an obligatory criteria; and

a recommender engine, connected to a processor for selecting said multiple criteria, and further connected to a storage device for storing said multiple criteria and connected to an output rendering device for displaying recommendations of content items pertaining to said personalized content channel, the processor;

generating the recommendation for the at least one further content item, wherein the at least one further content item complies with fewer of the multiple selection criteria than available in said filter, wherein compliance with the fewer of the multiple selection criteria allows the recommendation to be generated by the recommender engine requiring reduced computation;

rating said recommendation based on a measure of closeness, said measure of closeness being determined based on a number of criteria to which the at least one further content item satisfies closest to a number of said multiple criteria, the closeness measure being further calculated according to the following rule;

for at least one disjunct in the recommendation having n literals, wherein each literal is a selection criteria for the filter, ensuring that n−

1 m literals and no disjunct is satisfied, such that exactly m literals are excluded from the disjunct, and

displaying said rated recommendation on said output rendering device, and

displaying real-time feedback indicating the number of additional content items per time period that would pass the filter as a result of selecting the rated recommendation.

12. The system according to claim 11, wherein the processor:

selecting at least one of said at least one recommended further content item; and

adjusting said selection criteria on the basis of at least one characteristic of said selected at least one recommended further content item.