A Convolutional Approach for Estimating Popularity of New Branch Stores.
| Anthology ID: | DBLP:conf/www/LinH20 |
|---|---|
| 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: | 85-87 |
| URL: | https://doi.org/10.1145/3366424.3382709 |
| DOI: | https://doi.org/10.1145/3366424.3382709 |
| DBLP: | conf/www/LinH20 |
| BibTeX: |
@inproceedings{lin-2020-convolutional,
author = {Fandel Lin and
Hsun-Ping Hsieh},
editor = {Amal El Fallah Seghrouchni and
Gita Reese Sukthankar and
Tie-Yan Liu and
Maarten van Steen},
title = {{A Convolutional Approach for Estimating Popularity of New Branch Stores}},
booktitle = {{Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020}},
pages = {85--87},
publisher = {ACM / IW3C2},
year = {2020},
url = {https://doi.org/10.1145/3366424.3382709},
doi = {https://doi.org/10.1145/3366424.3382709}
}