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RECSYS
2010
ACM
13 years 5 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
DKE
2007
111views more  DKE 2007»
13 years 8 months ago
Category ranking for personalized search
Despite the effectiveness of search engines, the persistently increasing amount of web data continuously obscures the search task. Efforts have thus concentrated on personalized...
Christos Makris, Yannis Panagis, Evangelos Sakkopo...
MIR
2006
ACM
200views Multimedia» more  MIR 2006»
14 years 1 months ago
An adaptive graph model for automatic image annotation
Automatic keyword annotation is a promising solution to enable more effective image search by using keywords. In this paper, we propose a novel automatic image annotation method b...
Jing Liu, Mingjing Li, Wei-Ying Ma, Qingshan Liu, ...
AIR
2004
98views more  AIR 2004»
13 years 7 months ago
Further Experiments on Collaborative Ranking in Community-Based Web Search
As the search engine arms-race continues, search engines are constantly looking for ways to improve the manner in which they respond to user queries. Given the vagueness of Web sea...
Jill Freyne, Barry Smyth, Maurice Coyle, Evelyn Ba...
SDM
2007
SIAM
169views Data Mining» more  SDM 2007»
13 years 9 months ago
Rank Aggregation for Similar Items
The problem of combining the ranked preferences of many experts is an old and surprisingly deep problem that has gained renewed importance in many machine learning, data mining, a...
D. Sculley