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RECSYS
2010
ACM
14 years 11 months ago
List-wise learning to rank with matrix factorization for collaborative filtering
A ranking approach, ListRank-MF, is proposed for collaborative filtering that combines a list-wise learning-to-rank algorithm with matrix factorization (MF). A ranked list of item...
Yue Shi, Martha Larson, Alan Hanjalic
EUROPAR
2007
Springer
15 years 7 months ago
Are P2P Data-Dissemination Techniques Viable in Today's Data-Intensive Scientific Collaborations?
The interest among a geographically distributed user base to mine massive collections of scientific data propels the need for efficient data dissemination solutions. An optimal dat...
Samer Al-Kiswany, Matei Ripeanu, Adriana Iamnitchi...
WEBI
2001
Springer
15 years 6 months ago
Collaborative Filtering Using Principal Component Analysis and Fuzzy Clustering
: Automated collaborative filtering is a popular technique for reducing information overload. In this paper, we propose a new approach for the collaborative filtering using local...
Katsuhiro Honda, Nobukazu Sugiura, Hidetomo Ichiha...
UMUAI
2008
144views more  UMUAI 2008»
15 years 1 months ago
Tag-based user modeling for social multi-device adaptive guides
This paper aims to demonstrate that the principles of adaptation and user modeling, especially social annotation, can be integrated fruitfully with those of the Web 2.0 paradigm a...
Francesca Carmagnola, Federica Cena, Luca Console,...
ICPR
2008
IEEE
16 years 2 months ago
Efficient user preference predictions using collaborative filtering
Two major challenges in collaborative filtering are the efficiency of the algorithms and the quality of the recommendations. A variety of machine learning methods have been applie...
C. Lee Giles, Yang Song