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SDM
2010
SIAM
217views Data Mining» more  SDM 2010»
13 years 2 months ago
Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs
Collaborative filtering is an important topic in data mining and has been widely used in recommendation system. In this paper, we proposed a unified model for collaborative fil...
Quanquan Gu, Jie Zhou, Chris H. Q. Ding
INCDM
2007
Springer
121views Data Mining» more  INCDM 2007»
13 years 10 months ago
Collaborative Filtering Using Electrical Resistance Network Models
Abstract. In a recommender system where users rate items we predict the rating of items users have not rated. We define a rating graph containing users and items as vertices and r...
Jérôme Kunegis, Stephan Schmidt
KDD
2009
ACM
298views Data Mining» more  KDD 2009»
13 years 11 months ago
Mind the gaps: weighting the unknown in large-scale one-class collaborative filtering
One-Class Collaborative Filtering (OCCF) is a task that naturally emerges in recommender system settings. Typical characteristics include: Only positive examples can be observed, ...
Rong Pan, Martin Scholz
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
13 years 10 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
AAAI
2012
11 years 7 months ago
Transfer Learning in Collaborative Filtering with Uncertain Ratings
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
Weike Pan, Evan Wei Xiang, Qiang Yang