%0 Conference Paper
%1 popescul01probabilistic
%A Popescul, Alexandrin
%A Ungar, Lyle
%A Pennock, David
%A Lawrence, Steve
%B 17th Conference on Uncertainty in Artificial Intelligence
%C Seattle, Washington
%D 2001
%K clustering todo mode three 3mode network
%P 437--444
%T Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments
%U http://citeseer.ist.psu.edu/popescul01probabilistic.html
%X Recommender systems leverage product and community information to target products to consumers. Researchers have developed collaborative recommenders, content-based recommenders, and a few hybrid systems. We propose a unified probabilistic framework for merging collaborative and content-based recommendations. We extend Hofmann's aspect model to incorporate three-way co-occurrence data among users, items, and item content. The relative influence of collaboration data versus content data is not...