User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation.
Hengchang Hu|Wei Guo|Xu Liu|Yong Liu|Ruiming Tang|Rui Zhang|Min-Yen Kan
| Anthology ID: | DBLP:conf/wsdm/HuGLLTZK24 |
|---|---|
| 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: | 266-275 |
| URL: | https://doi.org/10.1145/3616855.3635762 |
| DOI: | https://doi.org/10.1145/3616855.3635762 |
| DBLP: | conf/wsdm/HuGLLTZK24 |
| BibTeX: |
@inproceedings{hu-2024-user,
author = {Hengchang Hu and
Wei Guo and
Xu Liu and
Yong Liu and
Ruiming Tang and
Rui Zhang and
Min-Yen Kan},
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 = {{User Behavior Enriched Temporal Knowledge Graphs for 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 = {266--275},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3616855.3635762},
doi = {https://doi.org/10.1145/3616855.3635762}
}