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Content-Boosted Collaborative Filtering for Improved Recommendations (2002)
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by
Prem Melville
,
Raymond J. Mooney
,
Ramadass Nagarajan
| Venue: | in Eighteenth National Conference on Artificial Intelligence |
| Citations: | 326 - 3 self |
BibTeX
@INPROCEEDINGS{Melville02content-boostedcollaborative,
author = {Prem Melville and Raymond J. Mooney and Ramadass Nagarajan},
title = {Content-Boosted Collaborative Filtering for Improved Recommendations},
booktitle = {in Eighteenth National Conference on Artificial Intelligence},
year = {2002},
pages = {187--192}
}
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Abstract
Most recommender systems use Collaborative Filtering or Content-based methods to predict new items of interest for a user. While both methods have their own advantages, individually they fail to provide good recommendations in many situations. Incorporating components from both methods, a hybrid recommender system can overcome these shortcomings.
