| Authors: |
Alexandrin Popescul
and Lyle Ungar
and David Pennock
and Steve Lawrence
|
| URL: |
http://citeseer.ist.psu.edu/popescul01probabilistic.html |
| Description: |
Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments - Popescul, Ungar, Pennock, Lawrence (ResearchIndex) |
| Tags: |
3mode
clustering
mode
network
three
todo
|
| 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... |
@inproceedings{popescul01probabilistic,
title = {Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments},
address = {Seattle, Washington},
author = {Alexandrin Popescul and Lyle Ungar and David Pennock and Steve Lawrence},
booktitle = {17th Conference on Uncertainty in Artificial Intelligence},
month = {August 2--5},
pages = {437--444},
url = {http://citeseer.ist.psu.edu/popescul01probabilistic.html},
year = {2001},
description = {Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments - Popescul, Ungar, Pennock, Lawrence (ResearchIndex)},
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...},
keywords = {3mode clustering mode network three todo }
}
::