A Convolutional Approach for Estimating Popularity of New Branch Stores.

Fandel Lin|Hsun-Ping Hsieh


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} }