How Linguistic Resources May Help to Recommend TV Programmes
Bernd Ludwig, Stefan Mandl, Sebastian Schmidt · University of Regensburg Publication Server (University of Regensburg) · 2006
This paper presents an approach to exploit free text descriptions of TV programmes as available from EPG data sets for a TV recommendation system that takes the content of programmes into account 1. The paper focusses on the natural language understanding problem underlying the analysis of free text descriptions and on methods of classifying free text descriptions in relation to a natural language user query. A evaluation of user acceptance is presented. The paper closes with a discussion of future work and proposals of how to integrate our search algorithm into recommendation systems that are described in the literature (see (Ardissono et al., 2001; Gena, 2001; Buczak et al., 2002)). 1