Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation.
Jiayan Guo|Yaming Yang|Xiangchen Song|Yuan Zhang|Yujing Wang|Jing Bai|Yan Zhang
| Anthology ID: | DBLP:conf/wsdm/Guo0SZWBZ22 |
|---|---|
| Volume: | WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022 |
| Year: | 2022 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 343-352 |
| URL: | https://doi.org/10.1145/3488560.3498524 |
| DOI: | https://doi.org/10.1145/3488560.3498524 |
| DBLP: | conf/wsdm/Guo0SZWBZ22 |
| BibTeX: |
@inproceedings{guo-2022-learning,
author = {Jiayan Guo and
Yaming Yang and
Xiangchen Song and
Yuan Zhang and
Yujing Wang and
Jing Bai and
Yan Zhang},
editor = {K. Sel\c{c}uk Candan and
Huan Liu and
Leman Akoglu and
Xin Dong and
Jiliang Tang},
title = {{Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation}},
booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}},
pages = {343--352},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3488560.3498524},
doi = {https://doi.org/10.1145/3488560.3498524}
}