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» On bootstrapping recommender systems
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EEE
2005
IEEE
16 years 1 days ago
Semantic Feedback for Hybrid Recommendations in Recommendz
In this paper we discuss the Recommendz 1 recommender system. This domain-independent system combines the advantages of collaborative and content-based filtering in a novel way. ...
Matthew Garden, Gregory Dudek
ICDM
2008
IEEE
183views Data Mining» more  ICDM 2008»
16 years 26 days ago
Collaborative Filtering for Implicit Feedback Datasets
A common task of recommender systems is to improve customer experience through personalized recommendations based on prior implicit feedback. These systems passively track differe...
Yifan Hu, Yehuda Koren, Chris Volinsky
EWCBR
2004
Springer
15 years 11 months ago
Dynamic Critiquing
Abstract. Critiquing is a powerful style of feedback for case-based recommender systems. Instead of providing detailed feature values, users indicate a directional preference for a...
James Reilly, Kevin McCarthy, Lorraine McGinty, Ba...
IUI
2003
ACM
15 years 11 months ago
Recommendations without user preferences: a natural language processing approach
We examine the problems with automated recommendation systems when information about user preferences is limited. We equate the problem to one of content similarity measurement an...
Michael Fleischman, Eduard H. Hovy
RECSYS
2009
ACM
15 years 11 months ago
Putting recommendations on the map: visualizing clusters and relations
Emden R. Gansner, Yifan Hu, Stephen G. Kobourov, C...