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}
}