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US 10,372,759 B2Granted
Profile based content retrieval for recommender systems
AssigneeFunke Digital Tv Guide GmbH
InventorsMauro Barbieri, Serverius Petrus Paulus Pronk, Jan Korst
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Abstract
The present invention relates to an apparatus, a method and a computer program product for controlling a recommender system, wherein a user profile normally used by a recommender to predict user ratings is employed to generate a targeted query for the remote database yielding a set of results that can be scored by the recommender and provided as suggestions to the user.
Claims12
An apparatus for controlling a recommender system, said apparatus comprising:
- a feature-value extractor for analyzing a user profile and for extracting feature-value pairs which characterize a user of said recommender system;
- a feature selector for selecting from said feature-value pairs extracted by said feature-value extractor those feature-value pairs which are most discriminative for said user profile,
- a query composer for composing, based on feature-value pairs extracted by said feature-value extractor and selected by said feature selector, a query to be sent to at least one content source;
- and
- a recommender engine for rating results obtained in response to said query so as to provide a recommendation for said user;
- wherein said feature-value selector is adapted to use a Relief algorithm as a feature selection algorithm for selecting said most discriminative feature-value pairs.
3 more elements
A method of controlling a recommender system, said method comprising:
- analyzing a user profile and extracting feature-value pairs which characterize a user of said recommender system;
- selecting from said extracted feature-value pairs those feature-value pairs which are most discriminative for said user profile;
- composing based on extracted and selected feature-value pairs a query to be sent to at least one content source;
- and
- rating results obtained in response to said query so as to provide a recommendation for said user;
- wherein a Relief algorithm is used as a feature selection algorithm for selecting said most discriminative feature-value pairs.
3 more elements
Dependencies are inferred from the claim text.