An Empirical Study of Embedding Features in Learning to Rank.
Faezeh Ensan|Ebrahim Bagheri|Amal Zouaq|Alexandre Kouznetsov
| Anthology ID: | DBLP:conf/cikm/EnsanBZK17 |
|---|---|
| Volume: | Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017 |
| Year: | 2017 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 2059-2062 |
| URL: | https://doi.org/10.1145/3132847.3133138 |
| DOI: | https://doi.org/10.1145/3132847.3133138 |
| DBLP: | conf/cikm/EnsanBZK17 |
| BibTeX: |
@inproceedings{ensan-2017-empirical,
author = {Faezeh Ensan and
Ebrahim Bagheri and
Amal Zouaq and
Alexandre Kouznetsov},
editor = {Ee-Peng Lim and
Marianne Winslett and
Mark Sanderson and
Ada Wai-Chee Fu and
Jimeng Sun and
J. Shane Culpepper and
Eric Lo and
Joyce C. Ho and
Debora Donato and
Rakesh Agrawal and
Yu Zheng and
Carlos Castillo and
Aixin Sun and
Vincent S. Tseng and
Chenliang Li},
title = {{An Empirical Study of Embedding Features in Learning to Rank}},
booktitle = {{Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017}},
pages = {2059--2062},
publisher = {ACM},
year = {2017},
url = {https://doi.org/10.1145/3132847.3133138},
doi = {https://doi.org/10.1145/3132847.3133138}
}