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} }