Towards Efficient Hypergraph Representation Learning for Multi-Behaviour Recommender Systems.
Tendai Mukande|Esraa Ali|Annalina Caputo|Ruihai Dong|Noel E. O'Connor
| Anthology ID: | DBLP:conf/www/MukandeACDO25 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1204-1208 |
| URL: | https://doi.org/10.1145/3701716.3715572 |
| DOI: | https://doi.org/10.1145/3701716.3715572 |
| DBLP: | conf/www/MukandeACDO25 |
| BibTeX: |
@inproceedings{mukande-2025-towards,
author = {Tendai Mukande and
Esraa Ali and
Annalina Caputo and
Ruihai Dong and
Noel E. O'Connor},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Towards Efficient Hypergraph Representation Learning for Multi-Behaviour Recommender Systems}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}},
pages = {1204--1208},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701716.3715572},
doi = {https://doi.org/10.1145/3701716.3715572}
}