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152
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KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 5 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
SDM
2012
SIAM
294views Data Mining» more  SDM 2012»
13 years 5 months ago
Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information
We propose a new matrix completion algorithm— Kernelized Probabilistic Matrix Factorization (KPMF), which effectively incorporates external side information into the matrix fac...
Tinghui Zhou, Hanhuai Shan, Arindam Banerjee, Guil...
DEXA
2009
Springer
172views Database» more  DEXA 2009»
15 years 6 months ago
Utilizing XML Clustering for Efficient XML Data Management on P2P Networks
Peer-to-Peer (P2P) data integration combines the P2P infrastructure with traditional scheme-based data integration techniques. Some of the primary problems in this research area ar...
Panagiotis Antonellis, Christos Makris, Nikos Tsir...
130
Voted
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
15 years 9 months ago
A Scalable Collaborative Filtering Framework Based on Co-Clustering
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
Thomas George, Srujana Merugu
251
Voted
SIGMETRICS
2012
ACM
347views Hardware» more  SIGMETRICS 2012»
13 years 5 months ago
Temperature management in data centers: why some (might) like it hot
The energy consumed by data centers is starting to make up a significant fraction of the world’s energy consumption and carbon emissions. A large fraction of the consumed energ...
Nosayba El-Sayed, Ioan A. Stefanovici, George Amvr...