PreSizE: Predicting Size in E-Commerce using Transformers.

Yotam Eshel|Or Levi|Haggai Roitman|Alexander Nus


Anthology ID:DBLP:conf/sigir/EshelLRN21
Volume:SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021
Year:2021
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:255-264
URL:https://doi.org/10.1145/3404835.3462844
DOI:https://doi.org/10.1145/3404835.3462844
DBLP:conf/sigir/EshelLRN21
BibTeX:
@inproceedings{eshel-2021-presize, author = {Yotam Eshel and Or Levi and Haggai Roitman and Alexander Nus}, editor = {Fernando Diaz and Chirag Shah and Torsten Suel and Pablo Castells and Rosie Jones and Tetsuya Sakai}, title = {{PreSizE: Predicting Size in E-Commerce using Transformers}}, booktitle = {{SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021}}, pages = {255--264}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3404835.3462844}, doi = {https://doi.org/10.1145/3404835.3462844} }