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WWW
2007
ACM
14 years 6 months ago
A novel collaborative filtering-based framework for personalized services in m-commerce
With the rapid growth of wireless technologies and handheld devices, m-commerce is becoming a promising research area. Personalization is especially important to the success of mc...
Qiudan Li, Chunheng Wang, Guanggang Geng, Ruwei Da...
WECWIS
2005
IEEE
137views ECommerce» more  WECWIS 2005»
13 years 10 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...
BCI
2009
IEEE
14 years 2 days ago
On the Performance of SVD-Based Algorithms for Collaborative Filtering
—In this paper, we describe and compare three Collaborative Filtering (CF) algorithms aiming at the low-rank approximation of the user-item ratings matrix. The algorithm implemen...
Manolis G. Vozalis, Angelos I. Markos, Konstantino...
ECIR
2010
Springer
13 years 6 months ago
A Performance Prediction Approach to Enhance Collaborative Filtering Performance
Performance prediction has gained increasing attention in the IR field since the half of the past decade and has become an established research topic in the field. The present work...
Alejandro Bellogín, Pablo Castells
SIGIR
2011
ACM
12 years 8 months ago
Collaborative competitive filtering: learning recommender using context of user choice
While a user’s preference is directly reflected in the interactive choice process between her and the recommender, this wealth of information was not fully exploited for learni...
Shuang-Hong Yang, Bo Long, Alexander J. Smola, Hon...