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} }