Learning Aligned Cross-Modal and Cross-Product Embeddings for Generating the Topics of Shopping Needs.

Yi-Ru Tsai|Pu-Jen Cheng


Anthology ID:DBLP:conf/ictir/TsaiC23
Volume:Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2023, Taipei, Taiwan, 23 July 2023
Year:2023
Venue:International Conference on the Theory of Information Retrieval (ICTIR)
Publisher:ACM
Pages:189-198
URL:https://doi.org/10.1145/3578337.3605133
DOI:https://doi.org/10.1145/3578337.3605133
DBLP:conf/ictir/TsaiC23
BibTeX:
@inproceedings{tsai-2023-learning, author = {Yi-Ru Tsai and Pu-Jen Cheng}, editor = {Masaharu Yoshioka and Julia Kiseleva and Mohammad Aliannejadi}, title = {{Learning Aligned Cross-Modal and Cross-Product Embeddings for Generating the Topics of Shopping Needs}}, booktitle = {{Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2023, Taipei, Taiwan, 23 July 2023}}, pages = {189--198}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3578337.3605133}, doi = {https://doi.org/10.1145/3578337.3605133} }