Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation.
Xiaolin Lin|Jinwei Luo|Junwei Pan|Weike Pan|Zhong Ming|Xun Liu|Shudong Huang|Jie Jiang
| Anthology ID: | DBLP:conf/wsdm/LinLPP0LH024 |
|---|---|
| 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: | 414-423 |
| URL: | https://doi.org/10.1145/3616855.3635815 |
| DOI: | https://doi.org/10.1145/3616855.3635815 |
| DBLP: | conf/wsdm/LinLPP0LH024 |
| BibTeX: |
@inproceedings{lin-2024-multisequence,
author = {Xiaolin Lin and
Jinwei Luo and
Junwei Pan and
Weike Pan and
Zhong Ming and
Xun Liu and
Shudong Huang and
Jie Jiang},
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 = {{Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation}},
booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}},
pages = {414--423},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3616855.3635815},
doi = {https://doi.org/10.1145/3616855.3635815}
}