Time Series Forecasting for Cold-Start Items by Learning from Related Items using Memory Networks.

Ayush Chauhan|Archiki Prasad|Parth Gupta|Prashanth Amireddy|Shiv Kumar Saini


Anthology ID:DBLP:conf/www/ChauhanPGRS20
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:120-121
URL:https://doi.org/10.1145/3366424.3382728
DOI:https://doi.org/10.1145/3366424.3382728
DBLP:conf/www/ChauhanPGRS20
BibTeX:
@inproceedings{chauhan-2020-time, author = {Ayush Chauhan and Archiki Prasad and Parth Gupta and Prashanth Amireddy and Shiv Kumar Saini}, editor = {Amal El Fallah Seghrouchni and Gita Reese Sukthankar and Tie-Yan Liu and Maarten van Steen}, title = {{Time Series Forecasting for Cold-Start Items by Learning from Related Items using Memory Networks}}, booktitle = {{Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020}}, pages = {120--121}, publisher = {ACM / IW3C2}, year = {2020}, url = {https://doi.org/10.1145/3366424.3382728}, doi = {https://doi.org/10.1145/3366424.3382728} }