A Probabilistic Reformulation of Memory-Based Collaborative Filtering: Implications on Popularity Biases.

Rocío Cañamares|Pablo Castells


Anthology ID:DBLP:conf/sigir/CanamaresC17
Volume:Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017
Year:2017
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:215-224
URL:https://doi.org/10.1145/3077136.3080836
DOI:https://doi.org/10.1145/3077136.3080836
DBLP:conf/sigir/CanamaresC17
BibTeX:
@inproceedings{canamares-2017-probabilistic, author = {Roc\'{i}o Ca\~{n}amares and Pablo Castells}, editor = {Noriko Kando and Tetsuya Sakai and Hideo Joho and Hang Li and Arjen P. de Vries and Ryen W. White}, title = {{A Probabilistic Reformulation of Memory-Based Collaborative Filtering: Implications on Popularity Biases}}, booktitle = {{Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017}}, pages = {215--224}, publisher = {ACM}, year = {2017}, url = {https://doi.org/10.1145/3077136.3080836}, doi = {https://doi.org/10.1145/3077136.3080836} }