ct This paper presents an approach to exploit free text descriptions of TV programmes as available from EPG data sets for a recommendation system that takes the content of programmes into account. The paper focusses on the natural language understanding problem in the analysis of free text descriptions and on methods of classifying free text descriptions in relation to a natural language user query. A preliminary evaluation of user acceptance is presented. The paper closes with a discussion of future work and experiments on other applications of the presented algorithm.