Method and Apparatus for Generating a Recommendation for at Least One Content Item

• US 20080288982A1
• Filed: 11/24/2006
• Published: 11/20/2008
• Est. Priority Date: 11/30/2005
• Status: Active Grant

• Current Assignee: Sisvel S.p.A. (Fineur International S.A.)
• Original Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Inventors: Pronk, Serverius Petrus Paulus, Proidl, Adolf
• Granted Patent: US 10,237,604 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 21/4532 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 21/4666 using neural networks, e.g. processing the feedback provided by the user
• CPC Class Codes: H04N 21/4668 for recommending content, e.g. movies
• CPC Class Codes: H04N 21/4756 for rating content, e.g. scoring a recommended movie

Abstract

A recommender engine (107_—1, 107_—2, 107_—3) recommends further content items for playout on a personalized content channel on the basis of a profile (109_—1, 109_—2, 109_—3) associated with that personalized content channel. The profile (109_—1, 109_—2, 109_—3) includes an indication of the user'"'"'s “like” and “dislike” of content items played out on said personalized channel.

Claims

1. A method of generating a recommendation for at least one content item, the method comprising the steps of:

determining a like or dislike of a content item played out on a personalized content channel;

updating a profile on the basis of the determined like or dislike, the profile being associated with said personalized content channel; and

generating a recommendation for at least one further content item on the basis of said profile.

2. A method according to claim 1, wherein the method further comprises the step of:

filtering each content item on said personalized content channel such that only content items that meet predetermined selection criteria are played out on said personalized channel.

3. A method according to claim 1, wherein the method further comprises the step of:

selecting the at least one recommended further content item for play out on said personalized content channel.

4. A method according to claim 1, wherein the method further comprises the step of:

providing a representation of said at least one recommended further content item on said personalized content channel.

7. A computer program product comprising a plurality of program code portions for carrying out the method according to claim 1.

5. Apparatus for generating a recommendation for at least one content item, the apparatus comprising:

a profile store for storing a profile, the profile being associated with a personalized content channel and being updated on the basis of a determined like or dislike of a content item played out on said personalized content channel; and

at least one recommender engine for generating a recommendation for at least one further content item on the basis of said profile.

6. Apparatus according to claim 5, wherein the apparatus further comprises a filter for filtering each content item on said personalized content channel such that only content items that meet predefined selection criteria are played out on said personalized content channel.