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» Introduction to recommender systems
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ACMSE
2006
ACM
15 years 4 months ago
Support vector machines for collaborative filtering
Support Vector Machines (SVMs) have successfully shown efficiencies in many areas such as text categorization. Although recommendation systems share many similarities with text ca...
Zhonghang Xia, Yulin Dong, Guangming Xing
COLCOM
2007
IEEE
15 years 4 months ago
Face2face social bookmarking with recommendations: WebQuests in the classrooms
—In this paper we present SYNCOBOOK, a distributed system that offers the functionalities of a face-to-face cooperative bookmarking system and of a recommendation system. Our ove...
Raffaella Grieco, Delfina Malandrino, Giuseppina P...
EEE
2005
IEEE
15 years 3 months 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
115
Voted
ICDM
2008
IEEE
183views Data Mining» more  ICDM 2008»
15 years 4 months 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
75
Voted
EWCBR
2004
Springer
15 years 3 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...