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ADAPTIVE
2007
Springer
14 years 2 months ago
Content-Based Recommendation Systems
This chapter discusses content-based recommendation systems, i.e., systems that recommend an item to a user based upon a description of the item and a profile of the user’s inter...
Michael J. Pazzani, Daniel Billsus
EWMF
2003
Springer
14 years 1 months ago
Semantically Enhanced Collaborative Filtering on the Web
Item-based Collaborative Filtering (CF) algorithms have been designed to deal with the scalability problems associated with traditional user-based CF approaches without sacrificin...
Bamshad Mobasher, Xin Jin, Yanzan Zhou
IFIP12
2009
13 years 6 months ago
User Recommendations based on Tensor Dimensionality Reduction
Social Tagging is the process by which many users add metadata in the form of keywords, to annotate and categorize items (songs, pictures, web links, products etc.). Social tagging...
Panagiotis Symeonidis
SIGECOM
1999
ACM
117views ECommerce» more  SIGECOM 1999»
14 years 21 days ago
Recommender systems in e-commerce
Recommender systems are changing from novelties used by a few E-commerce sites, to serious business tools that are re-shaping the world of E-commerce. Many of the largest commerce...
J. Ben Schafer, Joseph A. Konstan, John Riedl
WWW
2006
ACM
14 years 9 months ago
Determining user interests about museum collections
Currently, there is an increasing effort to provide various personalized services on museum web sites. This paper presents an approach for determining user interests in a museum c...
Lloyd Rutledge, Lora Aroyo, Natalia Stash