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» Combining predictions for accurate recommender systems
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WECWIS
2005
IEEE
137views ECommerce» more  WECWIS 2005»
15 years 3 months ago
Using Singular Value Decomposition Approximation for Collaborative Filtering
Singular Value Decomposition (SVD), together with the Expectation-Maximization (EM) procedure, can be used to find a low-dimension model that maximizes the loglikelihood of obser...
Sheng Zhang, Weihong Wang, James Ford, Fillia Make...
KDD
2012
ACM
217views Data Mining» more  KDD 2012»
13 years 2 days ago
Cross-domain collaboration recommendation
Interdisciplinary collaborations have generated huge impact to society. However, it is often hard for researchers to establish such cross-domain collaborations. What are the patte...
Jie Tang, Sen Wu, Jimeng Sun, Hang Su
MSR
2010
ACM
14 years 11 months ago
Replaying IDE interactions to evaluate and improve change prediction approaches
Abstract—Change prediction helps developers by recommending program entities that will have to be changed alongside the entities currently being changed. To evaluate their accura...
Romain Robbes, Damien Pollet, Michele Lanza
116
Voted
SIGIR
2009
ACM
15 years 4 months ago
Temporal collaborative filtering with adaptive neighbourhoods
Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...
Neal Lathia, Stephen Hailes, Licia Capra
62
Voted
WWW
2009
ACM
15 years 4 months ago
Tagommenders: connecting users to items through tags
Tagging has emerged as a powerful mechanism that enables users to find, organize, and understand online entities. Recommender systems similarly enable users to efficiently navig...
Shilad Sen, Jesse Vig, John Riedl