Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning.
Ryuichi Takanobu|Tao Zhuang|Minlie Huang|Jun Feng|Haihong Tang|Bo Zheng
| Anthology ID: | DBLP:conf/www/TakanobuZHFTZ19 |
|---|---|
| Volume: | The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019 |
| Year: | 2019 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1771-1781 |
| URL: | https://doi.org/10.1145/3308558.3313455 |
| DOI: | https://doi.org/10.1145/3308558.3313455 |
| DBLP: | conf/www/TakanobuZHFTZ19 |
| BibTeX: |
@inproceedings{takanobu-2019-aggregating,
author = {Ryuichi Takanobu and
Tao Zhuang and
Minlie Huang and
Jun Feng and
Haihong Tang and
Bo Zheng},
editor = {Ling Liu and
Ryen W. White and
Amin Mantrach and
Fabrizio Silvestri and
Julian J. McAuley and
Ricardo Baeza-Yates and
Leila Zia},
title = {{Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning}},
booktitle = {{The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019}},
pages = {1771--1781},
publisher = {ACM},
year = {2019},
url = {https://doi.org/10.1145/3308558.3313455},
doi = {https://doi.org/10.1145/3308558.3313455}
}