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} }