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KDD
2009
ACM
152views Data Mining» more  KDD 2009»
14 years 9 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
CHI
2008
ACM
14 years 9 months ago
PeerChooser: visual interactive recommendation
Collaborative filtering (CF) has been successfully deployed over the years to compute predictions on items based on a user's correlation with a set of peers. The black-box na...
Barry Smyth, Brynjar Gretarsson, John O'Donovan, S...
WWW
2010
ACM
14 years 4 months ago
Collaborative location and activity recommendations with GPS history data
With the increasing popularity of location-based services, such as tour guide and location-based social network, we now have accumulated many location data on the Web. In this pap...
Vincent Wenchen Zheng, Yu Zheng, Xing Xie, Qiang Y...
ICDE
2009
IEEE
120views Database» more  ICDE 2009»
14 years 3 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...
CSE
2009
IEEE
14 years 3 months ago
TagRec: Leveraging Tagging Wisdom for Recommendation
—Due to the exponential growth of information on the Web, Recommender Systems have been developed to generate suggestions to help users overcome information overload and sift thr...
Tom Chao Zhou, Hao Ma, Irwin King, Michael R. Lyu