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UM
2010
Springer
14 years 1 months ago
Bayesian Credibility Modeling for Personalized Recommendation in Participatory Media
In this paper, we focus on the challenge that users face in processing messages on the web posted in participatory media settings, such as blogs. It is desirable to recommend to us...
Aaditeshwar Seth, Jie Zhang, Robin Cohen
KDD
2010
ACM
265views Data Mining» more  KDD 2010»
14 years 22 days ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...
UM
2010
Springer
14 years 22 days ago
Interaction and Personalization of Criteria in Recommender Systems
A user’s informational need and preferences can be modeled by criteria, which in turn can be used to prioritize candidate results and produce a ranked list. We examine the use of...
Shawn R. Wolfe, Yi Zhang
AH
2006
Springer
14 years 18 days ago
A Comparative Study of Compound Critique Generation in Conversational Recommender Systems
Abstract. Critiquing techniques provide an easy way for users to feedback their preferences over one or several attributes of the products in a conversational recommender system. W...
Jiyong Zhang, Pearl Pu
EWCBR
2006
Springer
14 years 15 days ago
Supplementing Case-based Recommenders with Context Data
Abstract. We propose that traditional case-based recommender systems can be improved by informing them with context data describing the user's environment. We outline existing...
Lorcan Coyle, Evelyn Balfe, Graeme Stevenson, Stev...