Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search.

Keping Bi|Qingyao Ai|W. Bruce Croft


Anthology ID:DBLP:conf/sigir/BiAC21
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:123-132
URL:https://doi.org/10.1145/3404835.3462911
DOI:https://doi.org/10.1145/3404835.3462911
DBLP:conf/sigir/BiAC21
BibTeX:
@inproceedings{bi-2021-learning, author = {Keping Bi and Qingyao Ai and W. Bruce Croft}, editor = {Fernando Diaz and Chirag Shah and Torsten Suel and Pablo Castells and Rosie Jones and Tetsuya Sakai}, title = {{Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search}}, booktitle = {{SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021}}, pages = {123--132}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3404835.3462911}, doi = {https://doi.org/10.1145/3404835.3462911} }