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» Listwise approach to learning to rank: theory and algorithm
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WWW
2005
ACM
14 years 9 months ago
Predictive ranking: a novel page ranking approach by estimating the web structure
PageRank (PR) is one of the most popular ways to rank web pages. However, as the Web continues to grow in volume, it is becoming more and more difficult to crawl all the available...
Haixuan Yang, Irwin King, Michael R. Lyu
AIRS
2010
Springer
13 years 7 months ago
Learning to Rank with Supplementary Data
This paper is concerned with a new task of ranking, referred to as "supplementary data assisted ranking", or "supplementary ranking" for short. Different from c...
Wenkui Ding, Tao Qin, Xu-Dong Zhang
RECSYS
2010
ACM
13 years 9 months ago
Nantonac collaborative filtering: a model-based approach
A recommender system has to collect users' preference data. To collect such data, rating or scoring methods that use rating scales, such as good-fair-poor or a five-point-sca...
Toshihiro Kamishima, Shotaro Akaho
CORR
2010
Springer
116views Education» more  CORR 2010»
13 years 9 months ago
Interference Alignment as a Rank Constrained Rank Minimization
Abstract--We show that the maximization of the sum degreesof-freedom for the static flat-fading multiple-input multipleoutput (MIMO) interference channel is equivalent to a rank co...
Dimitris S. Papailiopoulos, Alexandros G. Dimakis
ECIR
2011
Springer
13 years 14 days ago
Balancing Exploration and Exploitation in Learning to Rank Online
Abstract. As retrieval systems become more complex, learning to rank approaches are being developed to automatically tune their parameters. Using online learning to rank approaches...
Katja Hofmann, Shimon Whiteson, Maarten de Rijke