Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation.

Shengyu Zhang|Lingxiao Yang|Dong Yao|Yujie Lu|Fuli Feng|Zhou Zhao|Tat-Seng Chua|Fei Wu


Anthology ID:DBLP:conf/www/ZhangYYLFZC022
Volume:WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022
Year:2022
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:2216-2226
URL:https://doi.org/10.1145/3485447.3512094
DOI:https://doi.org/10.1145/3485447.3512094
DBLP:conf/www/ZhangYYLFZC022
BibTeX:
@inproceedings{zhang-2022-re4, author = {Shengyu Zhang and Lingxiao Yang and Dong Yao and Yujie Lu and Fuli Feng and Zhou Zhao and Tat-Seng Chua and Fei Wu}, editor = {Fr\'{e}d\'{e}rique Laforest and Rapha\"{e}l Troncy and Elena Simperl and Deepak Agarwal and Aristides Gionis and Ivan Herman and Lionel M\'{e}dini}, title = {{Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation}}, booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}}, pages = {2216--2226}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3485447.3512094}, doi = {https://doi.org/10.1145/3485447.3512094} }