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}
}