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» Recommender systems: a market-based design
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ACMICEC
2007
ACM
154views ECommerce» more  ACMICEC 2007»
13 years 11 months ago
Learning and adaptivity in interactive recommender systems
Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...
Tariq Mahmood, Francesco Ricci
UM
2007
Springer
14 years 1 months ago
Modeling Preferences in a Distributed Recommender System
Abstract. A good way to help users finding relevant items on document platforms consists in suggesting content in accordance with their preferences. When implementing such a recom...
Sylvain Castagnos, Anne Boyer
DOLAP
2010
ACM
13 years 4 months ago
Integrating OLAP and recommender systems: an evaluation perspective
The integration of OLAP with web-search technologies is a promising research topic. Recommender systems are popular web-search mechanisms, because they can address information ove...
Artus Krohn-Grimberghe, Alexandros Nanopoulos, Lar...
ADAPTIVE
2007
Springer
14 years 1 months ago
Collaborative Filtering Recommender Systems
One of the potent personalization technologies powering the adaptive web is collaborative filtering. Collaborative filtering (CF) is the process of filtering or evaluating items th...
J. Ben Schafer, Dan Frankowski, Jonathan L. Herloc...
AVI
2004
13 years 8 months ago
Two methods for enhancing mutual awareness in a group recommender system
We present a group recommender system for vacations that helps group members who are not able to communicate synchronously to specify their preferences collaboratively and to arri...
Anthony Jameson, Stephan Baldes, Thomas Kleinbauer