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ACML
2009
Springer
16 years 24 days ago
Estimating Likelihoods for Topic Models
Abstract. Topic models are a discrete analogue to principle component analysis and independent component analysis that model topic at the word level within a document. They have ma...
Wray L. Buntine
EKAW
2006
Springer
15 years 9 months ago
Multilayered Semantic Social Network Modeling by Ontology-Based User Profiles Clustering: Application to Collaborative Filtering
We propose a multilayered semantic social network model that offers different views of common interests underlying a community of people. The applicability of the proposed model to...
Iván Cantador, Pablo Castells
INCDM
2007
Springer
121views Data Mining» more  INCDM 2007»
16 years 9 days 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
WECWIS
2005
IEEE
137views ECommerce» more  WECWIS 2005»
15 years 11 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...
ICDM
2009
IEEE
148views Data Mining» more  ICDM 2009»
16 years 25 days ago
Hierarchical Bayesian Models for Collaborative Tagging Systems
—Collaborative tagging systems with user generated content have become a fundamental element of websites such as Delicious, Flickr or CiteULike. By sharing common knowledge, mass...
Markus Bundschus, Shipeng Yu, Volker Tresp, Achim ...