Method and System for Generating a Recommendation for at Least One Further Content Item

• US 20080295133A1
• Filed: 11/24/2006
• Published: 11/27/2008
• Est. Priority Date: 11/30/2005
• Status: Active Grant

• Current Assignee: Koninklijke Philips N.V.
• Original Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Inventors: Pronk, Serverius Petrus Paulus, Proidl, Adolf
• Granted Patent: US 10,382,723 B2
• Time in Patent Office: Days
• US Class Current: 725/46
• 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 of generating a recommendation for at least one further content item, the method comprising the steps of:

using a filter with multiple selection criteria for providing a personalized content channel comprising content items complying with all of the multiple criteria; and

generating the recommendation for the at least one further content item, the at least one further content item complying with fewer of the multiple criteria.

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

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

8. A 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. A 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. A 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.

13. A computer program product comprising program code for carrying out the method according to claim 1.

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

a filter with multiple criteria for providing a personalized content channel comprising content items complying with all of the multiple criteria;

and

a recommender engine for generating the recommendation for the at least one further content item, the at least one further content item complying with fewer of the multiple criteria.

12. System according to claim 11, further comprising:

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

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