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KDD
2008
ACM
155views Data Mining» more  KDD 2008»
14 years 9 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
BCI
2009
IEEE
14 years 3 months 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...
PROFES
2004
Springer
14 years 2 months ago
Effort Estimation Based on Collaborative Filtering
Effort estimation methods are one of the important tools for project managers in controlling human resources of ongoing or future software projects. The estimations require histori...
Naoki Ohsugi, Masateru Tsunoda, Akito Monden, Ken-...
AAAI
2010
13 years 10 months ago
Transfer Learning in Collaborative Filtering for Sparsity Reduction
Data sparsity is a major problem for collaborative filtering (CF) techniques in recommender systems, especially for new users and items. We observe that, while our target data are...
Weike Pan, Evan Wei Xiang, Nathan Nan Liu, Qiang Y...
AAAI
2006
13 years 10 months ago
Mixed Collaborative and Content-Based Filtering with User-Contributed Semantic Features
We describe a recommender system which uses a unique combination of content-based and collaborative methods to suggest items of interest to users, and also to learn and exploit it...
Matthew Garden, Gregory Dudek