Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly.

Dan Kalifa|Uriel Singer|Ido Guy|Guy D. Rosin|Kira Radinsky


Anthology ID:DBLP:conf/wsdm/KalifaSGRR22
Volume:WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022
Year:2022
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:430-438
URL:https://doi.org/10.1145/3488560.3498452
DOI:https://doi.org/10.1145/3488560.3498452
DBLP:conf/wsdm/KalifaSGRR22
BibTeX:
@inproceedings{kalifa-2022-leveraging, author = {Dan Kalifa and Uriel Singer and Ido Guy and Guy D. Rosin and Kira Radinsky}, editor = {K. Sel\c{c}uk Candan and Huan Liu and Leman Akoglu and Xin Dong and Jiliang Tang}, title = {{Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly}}, booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}}, pages = {430--438}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3488560.3498452}, doi = {https://doi.org/10.1145/3488560.3498452} }