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} }