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