Preliminary Investigation of Alleviating User Cold-Start Problem in E-commerce with Deep Cross-Domain Recommender System.
Hanxin Wang|Daichi Amagata|Takuya Maekawa|Takahiro Hara|Hao Niu|Kei Yonekawa|Mori Kurokawa
| Anthology ID: | DBLP:conf/www/WangAMHNYK19 |
|---|---|
| Volume: | Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019. |
| Year: | 2019 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 398-403 |
| URL: | https://doi.org/10.1145/3308560.3316596 |
| DOI: | https://doi.org/10.1145/3308560.3316596 |
| DBLP: | conf/www/WangAMHNYK19 |
| BibTeX: |
@inproceedings{wang-2019-preliminary,
author = {Hanxin Wang and
Daichi Amagata and
Takuya Maekawa and
Takahiro Hara and
Hao Niu and
Kei Yonekawa and
Mori Kurokawa},
editor = {Sihem Amer-Yahia and
Mohammad Mahdian and
Ashish Goel and
Geert-Jan Houben and
Kristina Lerman and
Julian J. McAuley and
Ricardo Baeza-Yates and
Leila Zia},
title = {{Preliminary Investigation of Alleviating User Cold-Start Problem in E-commerce with Deep Cross-Domain Recommender System}},
booktitle = {{Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019}},
pages = {398--403},
publisher = {ACM},
year = {2019},
url = {https://doi.org/10.1145/3308560.3316596},
doi = {https://doi.org/10.1145/3308560.3316596}
}