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» On bootstrapping recommender systems
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CIVR
2007
Springer
189views Image Analysis» more  CIVR 2007»
16 years 19 days ago
Online video recommendation based on multimodal fusion and relevance feedback
With Internet delivery of video content surging to an unprecedented level, video recommendation has become a very popular online service. The capability of recommending relevant v...
Bo Yang, Tao Mei, Xian-Sheng Hua, Linjun Yang, Shi...
MM
2010
ACM
271views Multimedia» more  MM 2010»
15 years 4 months ago
Large-scale music tag recommendation with explicit multiple attributes
Social tagging can provide rich semantic information for largescale retrieval in music discovery. Such collaborative intelligence, however, also generates a high degree of tags un...
Zhendong Zhao, Xinxi Wang, Qiaoliang Xiang, Andy M...
IUI
2009
ACM
16 years 3 months ago
Tagsplanations: explaining recommendations using tags
While recommender systems tell users what items they might like, explanations of recommendations reveal why they might like them. Explanations provide many benefits, from improvi...
Jesse Vig, Shilad Sen, John Riedl
EWCBR
2006
Springer
15 years 10 months 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...
IIR
2010
15 years 8 months ago
Context-Dependent Recommendations with Items Splitting
Recommender systems are intelligent applications that help on-line users to tackle information overload by providing recommendations of relevant items. Collaborative Filtering (CF...
Linas Baltrunas, Francesco Ricci