A Scalable Hybrid Research Paper Recommender System for Microsoft Academic.
Anshul Kanakia|Zhihong Shen|Darrin Eide|Kuansan Wang
| Anthology ID: | DBLP:conf/www/KanakiaSEW19 |
|---|---|
| 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: | 2893-2899 |
| URL: | https://doi.org/10.1145/3308558.3313700 |
| DOI: | https://doi.org/10.1145/3308558.3313700 |
| DBLP: | conf/www/KanakiaSEW19 |
| BibTeX: |
@inproceedings{kanakia-2019-scalable,
author = {Anshul Kanakia and
Zhihong Shen and
Darrin Eide and
Kuansan Wang},
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 = {{A Scalable Hybrid Research Paper Recommender System for Microsoft Academic}},
booktitle = {{The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019}},
pages = {2893--2899},
publisher = {ACM},
year = {2019},
url = {https://doi.org/10.1145/3308558.3313700},
doi = {https://doi.org/10.1145/3308558.3313700}
}