Quantifying and Visualizing the Demand and Supply Gap from E-commerce Search Data using Topic Models.
Anjan Goswami|Prasant Mohapatra|Chengxiang Zhai
| Anthology ID: | DBLP:conf/www/GoswamiMZ19 |
|---|---|
| Volume: | Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019. |
| Year: | 2019 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 348-353 |
| URL: | https://doi.org/10.1145/3308560.3316605 |
| DOI: | https://doi.org/10.1145/3308560.3316605 |
| DBLP: | conf/www/GoswamiMZ19 |
| BibTeX: |
@inproceedings{goswami-2019-quantifying,
author = {Anjan Goswami and
Prasant Mohapatra and
Chengxiang Zhai},
editor = {Sihem Amer-Yahia and
Mohammad Mahdian and
Ashish Goel and
Geert-Jan Houben and
Kristina Lerman and
Julian J. McAuley and
Ricardo Baeza-Yates and
Leila Zia},
title = {{Quantifying and Visualizing the Demand and Supply Gap from E-commerce Search Data using Topic Models}},
booktitle = {{Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019}},
pages = {348--353},
publisher = {ACM},
year = {2019},
url = {https://doi.org/10.1145/3308560.3316605},
doi = {https://doi.org/10.1145/3308560.3316605}
}