Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems.
Lukas Wegmeth|Tobias Vente|Lennart Purucker
| Anthology ID: | DBLP:conf/ecir/WegmethVP24 |
|---|---|
| Volume: | Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part I |
| Year: | 2024 |
| Venue: | European Conference on Advances in Information Retrieval (ECIR) |
| Publisher: | Springer |
| Pages: | 140-156 |
| URL: | https://doi.org/10.1007/978-3-031-56027-9_9 |
| DOI: | https://doi.org/10.1007/978-3-031-56027-9_9 |
| DBLP: | conf/ecir/WegmethVP24 |
| BibTeX: |
@inproceedings{wegmeth-2024-revealing,
author = {Lukas Wegmeth and
Tobias Vente and
Lennart Purucker},
editor = {Nazli Goharian and
Nicola Tonellotto and
Yulan He and
Aldo Lipani and
Graham McDonald and
Craig Macdonald and
Iadh Ounis},
title = {{Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems}},
booktitle = {{Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part I}},
series = {Lecture Notes in Computer Science},
volume = {14608},
pages = {140--156},
publisher = {Springer},
year = {2024},
url = {https://doi.org/10.1007/978-3-031-56027-9_9},
doi = {https://doi.org/10.1007/978-3-031-56027-9_9}
}