A Fuzzy Linguistic Summarization Technique for TV Recommender Systems

Overview & Synopsis

The increasing number of satellite and cable television channels is resulting in a soaring number of broadcast programs available to viewers. To alleviate this problem, Personal Video Recorders (multimedia platforms which record TV programs on a hard disk) should integrate a recommender system, which purpose is to filter programs according to their relevance. These systems are based on a user profile, acting as a representative for the user's interests. An important research issue resides in going beyond explicitly userdefined profiles. This paper presents a TV recommender system using fuzzy linguistic summarization technique, which enables automatic learning of the user profile. The logical architecture of the recommender system based on the SAINTETIQ model, as well as the main ideas of the filtering task are introduced in this communication.