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} }