Attribute Simulation for Item Embedding Enhancement in Multi-interest Recommendation.
Yaokun Liu|Xiaowang Zhang|Minghui Zou|Zhiyong Feng
| Anthology ID: | DBLP:conf/wsdm/LiuZZ024 |
|---|---|
| Volume: | Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024 |
| Year: | 2024 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 482-491 |
| URL: | https://doi.org/10.1145/3616855.3635841 |
| DOI: | https://doi.org/10.1145/3616855.3635841 |
| DBLP: | conf/wsdm/LiuZZ024 |
| BibTeX: |
@inproceedings{liu-2024-attribute,
author = {Yaokun Liu and
Xiaowang Zhang and
Minghui Zou and
Zhiyong Feng},
editor = {Luz Angelica Caudillo-Mata and
Silvio Lattanzi and
Andr\'{e}s Mu\~{n}oz Medina and
Leman Akoglu and
Aristides Gionis and
Sergei Vassilvitskii},
title = {{Attribute Simulation for Item Embedding Enhancement in Multi-interest Recommendation}},
booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}},
pages = {482--491},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3616855.3635841},
doi = {https://doi.org/10.1145/3616855.3635841}
}