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» Using mixture models for collaborative filtering
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ICML
2007
IEEE
14 years 5 months ago
Learning to rank: from pairwise approach to listwise approach
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...
Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, Han...
DSS
2006
138views more  DSS 2006»
13 years 5 months ago
Design of a shopbot and recommender system for bundle purchases
The increasing proliferation of online shopping and purchasing has naturally led to a growth in the popularity of comparisonshopping search engines, popularly known as "shopb...
Robert S. Garfinkel, Ram D. Gopal, Arvind K. Tripa...
WWW
2009
ACM
14 years 5 months ago
Extracting community structure through relational hypergraphs
Social media websites promote diverse user interaction on media objects as well as user actions with respect to other users. The goal of this work is to discover community structu...
Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru...
NN
2008
Springer
150views Neural Networks» more  NN 2008»
13 years 5 months ago
Neural network based pattern matching and spike detection tools and services - in the CARMEN neuroinformatics project
In the study of information flow in the nervous system, component processes can be investigated using a range of electrophysiological and imaging techniques. Although data is diff...
Martyn Fletcher, Bojian Liang, Leslie Smith, Alast...
KDD
2009
ACM
305views Data Mining» more  KDD 2009»
14 years 5 months ago
Grocery shopping recommendations based on basket-sensitive random walk
We describe a recommender system in the domain of grocery shopping. While recommender systems have been widely studied, this is mostly in relation to leisure products (e.g. movies...
Ming Li, M. Benjamin Dias, Ian H. Jarman, Wael El-...