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} }