Authors
Cai-Nicolas Ziegler, Georg Lausen, Lars Schmidt-Thieme
Publication date
2004/11/13
Book
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Pages
406-415
Description
Recommender systems have been subject to an enormous rise in popularity and research interest over the last ten years. At the same time, very large taxonomies for product classification are becoming increasingly prominent among e-commerce systems for diverse domains, rendering detailed machine-readable content descriptions feasible. Amazon.com makes use of an entire plethora of hand-crafted taxonomies classifying books, movies, apparel, and various other goods. We exploit such taxonomic background knowledge for the computation of personalized recommendations. Hereby, relationships between super-concepts and sub-concepts constitute an important cornerstone of our novel approach, providing powerful inference opportunities for profile generation based upon the classification of products that customers have chosen. Ample empirical analysis, both offline and online, demonstrates our proposal …
Total citations
Scholar articles
CN Ziegler, G Lausen, L Schmidt-Thieme - Proceedings of the thirteenth ACM international …, 2004