KASANDR: A Large-Scale Dataset with Implicit Feedback for Recommendation.

Sumit Sidana|Charlotte Laclau|Massih-Reza Amini|Gilles Vandelle|André Bois-Crettez


Anthology ID:DBLP:conf/sigir/SidanaLAVB17
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:1245-1248
URL:https://doi.org/10.1145/3077136.3080713
DOI:https://doi.org/10.1145/3077136.3080713
DBLP:conf/sigir/SidanaLAVB17
BibTeX:
@inproceedings{sidana-2017-kasandr, author = {Sumit Sidana and Charlotte Laclau and Massih-Reza Amini and Gilles Vandelle and Andr\'{e} Bois-Crettez}, editor = {Noriko Kando and Tetsuya Sakai and Hideo Joho and Hang Li and Arjen P. de Vries and Ryen W. White}, title = {{KASANDR: A Large-Scale Dataset with Implicit Feedback for Recommendation}}, booktitle = {{Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017}}, pages = {1245--1248}, publisher = {ACM}, year = {2017}, url = {https://doi.org/10.1145/3077136.3080713}, doi = {https://doi.org/10.1145/3077136.3080713} }