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» Supporting User Query Relaxation in a Recommender System
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DATAMINE
2002
155views more  DATAMINE 2002»
14 years 11 months ago
Efficient Adaptive-Support Association Rule Mining for Recommender Systems
Collaborative recommender systems allow personalization for e-commerce by exploiting similarities and dissimilarities among customers' preferences. We investigate the use of a...
Weiyang Lin, Sergio A. Alvarez, Carolina Ruiz
ICCBR
2003
Springer
15 years 4 months ago
Product Recommendation with Interactive Query Management and Twofold Similarity
Abstract. This paper describes an approach to product recommendation that combines in a novel way content- and collaborative-based filtering techniques. The system helps the user ...
Francesco Ricci, Adriano Venturini, Dario Cavada, ...
OHS
2001
Springer
15 years 4 months ago
Integrating User Data and Collaborative Filtering in a Web Recommendation System
Web-based applications with a large variety of users suffer from the inability to satisfy heterogeneous needs. A remedy for the negative effects of the traditional "one-size-...
Paolo Buono, Maria Francesca Costabile, Stefano Gu...
CORR
2002
Springer
132views Education» more  CORR 2002»
14 years 11 months ago
Exploiting Synergy Between Ontologies and Recommender Systems
Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries. Recommender sys...
Stuart E. Middleton, Harith Alani, David De Roure
IJCSA
2006
75views more  IJCSA 2006»
14 years 11 months ago
The Recommendation Mechanism in an Internet Information System with Time Impact Coefficient
: In this paper we propose two generic mechanisms implemented in a cadastre internet information system. The first one is the list of last queries submitted by a given user and the...
Dariusz Król, Michal Szymanski, Bogdan Traw...