S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks.
Minjin Choi|Jinhong Kim|Joonseok Lee|Hyunjung Shim|Jongwuk Lee
| Anthology ID: | DBLP:conf/wsdm/ChoiKLSL22 |
|---|---|
| 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: | 150-160 |
| URL: | https://doi.org/10.1145/3488560.3498464 |
| DOI: | https://doi.org/10.1145/3488560.3498464 |
| DBLP: | conf/wsdm/ChoiKLSL22 |
| BibTeX: |
@inproceedings{choi-2022-swalk,
author = {Minjin Choi and
Jinhong Kim and
Joonseok Lee and
Hyunjung Shim and
Jongwuk Lee},
editor = {K. Sel\c{c}uk Candan and
Huan Liu and
Leman Akoglu and
Xin Dong and
Jiliang Tang},
title = {{S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks}},
booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}},
pages = {150--160},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3488560.3498464},
doi = {https://doi.org/10.1145/3488560.3498464}
}