Microsoft Recommenders: Best Practices for Production-Ready Recommendation Systems.

Andreas Argyriou|Miguel González-Fierro|Le Zhang


Anthology ID:DBLP:conf/www/ArgyriouGZ20
Volume:Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020
Year:2020
Venue:The Web Conference (WWW)
Publisher:ACM / IW3C2
Pages:50-51
URL:https://doi.org/10.1145/3366424.3382692
DOI:https://doi.org/10.1145/3366424.3382692
DBLP:conf/www/ArgyriouGZ20
BibTeX:
@inproceedings{argyriou-2020-microsoft, author = {Andreas Argyriou and Miguel Gonz\'{a}lez-Fierro and Le Zhang}, editor = {Amal El Fallah Seghrouchni and Gita Reese Sukthankar and Tie-Yan Liu and Maarten van Steen}, title = {{Microsoft Recommenders: Best Practices for Production-Ready Recommendation Systems}}, booktitle = {{Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020}}, pages = {50--51}, publisher = {ACM / IW3C2}, year = {2020}, url = {https://doi.org/10.1145/3366424.3382692}, doi = {https://doi.org/10.1145/3366424.3382692} }