Related Work ● Motivation of Tv a Different approaches in the field of Tv personalization tools Recommender Systems Bayesian techniques e Main Design Decisions Decision trees e The Architecture Content-based methods ● The Contributions of AVATAR Collaborative filtering ●TheL| KO language ● Conclusions ● Further Work● Motivation of TV Recommender Systems ● Related Work ● Main Design Decisions ● The Architecture ● The Contributions of AVATAR ● The LIKO language ● Conclusions ● Further Work Slide 3/14 Related Work ■ Different approaches in the field of TV personalization tools: ◆ Bayesian techniques ◆ Decision trees ◆ Content-based methods ◆ Collaborative filtering ◆ ... ■ A common base: limitation in reasoning capabilities. ◆ Mechanisms to represent the knowledge of TV domain are not used in previous proposals. ◆ Reasoning process allows to obtain enhaced recommendations