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KDD
2009
ACM
192views Data Mining» more  KDD 2009»
16 years 7 months ago
Learning optimal ranking with tensor factorization for tag recommendation
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
Steffen Rendle, Leandro Balby Marinho, Alexandros ...
MMM
2009
Springer
169views Multimedia» more  MMM 2009»
16 years 3 months ago
Personalized Image Recommendation
—In this paper, we have developed a novel framework called JustClick to enable personalized image recommendation via exploratory search from large-scale collections of manuallyan...
Yuli Gao, Hangzai Luo, Jianping Fan
ACMICEC
2007
ACM
117views ECommerce» more  ACMICEC 2007»
15 years 10 months ago
Selectively acquiring ratings for product recommendation
Accurate prediction of customer preferences on products is the key to any recommender systems to realize its promised strategic values such as improved customer satisfaction and t...
Zan Huang
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
16 years 7 months ago
TANGENT: a novel, 'Surprise me', recommendation algorithm
Most of recommender systems try to find items that are most relevant to the older choices of a given user. Here we focus on the "surprise me" query: A user may be bored ...
Kensuke Onuma, Hanghang Tong, Christos Faloutsos
ICDE
2009
IEEE
120views Database» more  ICDE 2009»
16 years 1 months ago
Recommending Join Queries via Query Log Analysis
— Complex ad hoc join queries over enterprise databases are commonly used by business data analysts to understand and analyze a variety of enterprise-wide processes. However, eff...
Xiaoyan Yang, Cecilia M. Procopiuc, Divesh Srivast...