Towards Metadata-Aware Algorithms for Recommender Systems
©2010
Thesis
XVI,
117 Pages
Series:
Informationstechnologie und Ökonomie, Volume 34
Summary
As recommender systems (RS) allow means of guiding consumers through the overloaded choices of products available, the recommendation problem has always been of great interest for both academic and industry. Metadata such as content information about the items (attributes) have typically been used to enrich RS algorithms. Recently, the trend of employing RS has expanded to other e-communities such as social tagging systems, inspiring the possibility to exploit tags to enhance RS. This book reports several research gaps in metadata-aware RS algorithms. In particular, it discusses attribute-aware RS algorithms focusing on the overlooked item prediction problem as well as the new emerging challenge of tag-aware RS algorithms.
Details
- Pages
- XVI, 117
- Publication Year
- 2010
- ISBN (Hardcover)
- 9783631598412
- Language
- English
- Keywords
- e-commerce collaborative filtering content based filtering
- Published
- Frankfurt am Main, Berlin, Bern, Bruxelles, New York, Oxford, Wien, 2010. XVI, 117 pp., 2 fig., num. tables and graphs
- Product Safety
- Peter Lang Group AG