Re-using Implicit Knowledge in Short-Term Information Profiles for Context-Sensitive Tasks

Typically, case-based recommender systems recommend single items to the on-line customer. In this paper we introduce the idea of recommending a user-defined collection of items where the user has implicitly encoded the relationships between the items. Automated collaborative filtering (ACF), a socalled ‘contentless’ technique, has been widely used as a recommendation strategy for music items. However, its reliance on a global model of the user’s interests makes it unsuited to catering for the user’s local interests. We consider the context-sensitive task of building a compilation, a user-defined collection of music tracks. In our analysis, a collection is a case that captures a specific shortterm information/music need. In an offline evaluation, we demonstrate how a case-completion strategy that uses short-term representations is significantly more effective than the ACF technique. We then consider the problem of recommending a compilation according to the user’s most recent ...

• Type: Conference
• Year: 2005
• Where: ICCBR
• Authors: Conor Hayes, Paolo Avesani, Emiliano Baldo, Padraig Cunningham
• Keywords: Case-based Recommender Systems, ICCBR 2005, User-defined Collection, User’s Local Interests