论文信息 - Personalisation Technologies for the Digital TV World

Personalisation Technologies for the Digital TV World

The information overload problem is becoming a serious issue on the Internet and users are finding it increasingly difficult to quickly locate the right information at the right time. Content personalisation techniques may provide a useful solution by enabling information services to respond to the implicit and explicit preferences of individual users. In this paper we describe an innovative personalised TV listings service (PTV), which has been successfully deployed on a number of Irish Web sites and which has attracted over 15,000 users in the first year of operation.

Barry Smyth | Paul Cotter

[1] Douglas B. Terry,et al. Using collaborative filtering to weave an information tapestry , 1992, CACM.

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

[3] Bradley N. Miller,et al. GroupLens: applying collaborative filtering to Usenet news , 1997, CACM.

[4] Barry Smyth,et al. Surfing the Digital Wave Generating Personalised TV Listings using Collaborative, Case-Based Recommendation , 1999 .

[5] Barry Smyth,et al. Surfing the Digital Wave , 1999, ICCBR.

[6] Yoav Shoham,et al. Fab: content-based, collaborative recommendation , 1997, CACM.

[7] Judy Kay,et al. Vive la difference! Individualised Interaction with Users , 1995, IJCAI.

[8] Michael J. Pazzani,et al. Learning Collaborative Information Filters , 1998, ICML.

[9] Pattie Maes,et al. Social information filtering: algorithms for automating “word of mouth” , 1995, CHI '95.

[10] Ian D. Watson,et al. Applying case-based reasoning - techniques for the enterprise systems , 1997 .

[11] Kristian J. Hammond,et al. A Case-Based Approach to Knowledge Navigation , 1994, IJCAI.

[12] Oren Etzioni,et al. Adaptive Web Sites: an AI Challenge , 1997, IJCAI.