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Axel Springer Digital TV Guide GmbH

Axel Springer Digital TV Guide GmbH Patent applications
Patent application numberTitlePublished
20110320482CONTEXT-BASED RECOMMENDER SYSTEM - The present invention relates to a recommender system and method comprising a first extractor (S12-29-2011
20110251988ADAPTIVE IMPLICIT LEARNING FOR RECOMMENDER SYSTEM - The present invention relates to an apparatus, method, and computer program product for controlling a recommender system, wherein user actions on content items are associated to explicit ratings on these content items and translated into a UI features profile, which is subsequently used by a recommender. This recommender rates new items based on user actions on this item and thus creates an implicitly learned rating history. This learning makes the implicit rating or scoring personalized. It can be combined in several ways with an explicitly learned rating history to improve overall performance and/or to mitigate the burden for the user, by having him/her rate less items explicitly.10-13-2011
20110170838METHOD FOR DISTRIBUTING SECOND MULTI-MEDIA CONTENT ITEMS IN A LIST OF FIRST MULTI-MEDIA CONTENT ITEMS - A method of distributing second multi-media content items into a list having at least one first multi-media content item is provided. The list of the first multi-media content item is to be reproduced on a personal TV system. A playlist of first multi-media content items is selected from a plurality of first multi-media content items available on different TV channels. Potential second multi-media content items from a plurality of available second multi-media content items are determined by matching information from the first and second multi-media content items. At least one of the determined second multi-media content items are selected based on a user profile, metadata of the first and second multi-media content items and/or a distribution scheme for distributing the second multi-media content items into the playlist of the first multi-media content items.07-14-2011