Metadata trust in a personal video recorder

Trust is the belief or confidence in someone that their recommendations will work for you, i.e. that you will like the TV-programs (or other content) that they recommend. Many systems incorporate some notion of trust. Trust is more than similarity in taste, which makes trust a broader concept than the concept of similarity used in Collaborative Filtering. This paper describes ongoing work on the development of a trust-aware Personal Video Recorder (PVR). It presents a taxonomy of ways in which trust can be quantified and gives first ideas about automatically deriving trust for use in a PVR system.

[1]  Gerhard Lakemeyer,et al.  Towards (Dis)Trust-Based Simulations of Agent Networks , 2001 .

[2]  Kate Ehrlich,et al.  Pointing the way: active collaborative filtering , 1995, CHI '95.

[3]  John Riedl,et al.  Explaining collaborative filtering recommendations , 2000, CSCW '00.

[4]  Patrick Baudisch,et al.  TV Scout: Lowering the Entry Barrier to Personalized TV Program Recommendation , 2002, From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments.

[5]  Rajeev Motwani,et al.  The PageRank Citation Ranking : Bringing Order to the Web , 1999, WWW 1999.