@inproceedings{popescul01probabilistic,
  abstract = {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...},
  address = {Seattle, Washington},
  author = {Popescul, Alexandrin and Ungar, Lyle and Pennock, David and Lawrence, Steve},
  booktitle = {17th Conference on Uncertainty in Artificial Intelligence},
  interhash = {429bcf0381d2b7b9ab95eea7d3a65776},
  intrahash = {ae7ce7b8d1a31e81f9aa8b8367039506},
  month = {August 2--5},
  pages = {437--444},
  title = {Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments},
  url = {http://citeseer.ist.psu.edu/popescul01probabilistic.html},
  year = 2001
}

@incollection{tucker64extension,
  address = {New York},
  author = {Tucker, L. R.},
  booktitle = {{C}ontributions to mathematical psychology.},
  editor = {Gulliksen, H. and Frederiksen, N.},
  interhash = {449b66a6250c5a64111edd1d27e22d12},
  intrahash = {2bbb590343b38712679579b882f79352},
  pages = {110--127},
  publisher = {Holt, Rinehart and Winston},
  title = {{T}he extension of factor analysis to three-dimensional matrices},
  year = 1964
}

@incollection{hl84parafac,
  address = {New York},
  author = {Harshman, R. A. and Lundy, M. E.},
  booktitle = {{R}esearch methods for multimode data analysis},
  editor = {Law, H. G. and {Snyder Jr}, C. W. and Hattie, J. A. and McDonald, R. P.},
  interhash = {2e24bc87fee86cbc73811b7853680312},
  intrahash = {0a93b832524031bbfe46db5406b99574},
  pages = {122--215},
  publisher = {Praeger},
  title = {{T}he {P}{A}{R}{A}{F}{A}{C} model for three-way factor analysis and multidimensional scaling},
  year = 1984
}