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WWW
2009
ACM
14 years 10 months ago
Collaborative filtering for orkut communities: discovery of user latent behavior
Users of social networking services can connect with each other by forming communities for online interaction. Yet as the number of communities hosted by such websites grows over ...
WenYen Chen, Jon-Chyuan Chu, Junyi Luan, Hongjie B...
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
12 years 9 days ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
KDD
2008
ACM
155views Data Mining» more  KDD 2008»
14 years 10 months ago
Factorization meets the neighborhood: a multifaceted collaborative filtering model
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
Yehuda Koren
ICDE
2010
IEEE
331views Database» more  ICDE 2010»
14 years 4 months ago
Navigation system for product search
Abstract— We demonstrate Product EntityCube, a product recommendation and navigation system. While the unprecedented scale of a product search portal enables to satisfy users wit...
Jongwuk Lee, Seung-won Hwang, Zaiqing Nie, Ji-Rong...
SAC
2006
ACM
14 years 3 months ago
Distributed collaborative filtering for peer-to-peer file sharing systems
Collaborative filtering requires a centralized rating database. However, within a peer-to-peer network such a centralized database is not readily available. In this paper, we pro...
Jun Wang, Johan A. Pouwelse, Reginald L. Lagendijk...