Fairness among New Items in Cold Start Recommender Systems.
Silviu Cucerzan|Aish Fenton|Ziwei Zhu|Jingu Kim|Trung Nguyen|Silviu Cucerzan|Aish Fenton|James Caverlee
| Anthology ID: | DBLP:conf/sigir/ZhuKNFC21 |
|---|---|
| Volume: | SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021 |
| Year: | 2021 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 767-776 |
| URL: | https://doi.org/10.1145/3404835.3462948 |
| DOI: | https://doi.org/10.1145/3404835.3462948 |
| DBLP: | conf/sigir/ZhuKNFC21 |
| BibTeX: |
@inproceedings{cucerzan-2021-fairness,
author = {Silviu Cucerzan and
Aish Fenton and
Ziwei Zhu and
Jingu Kim and
Trung Nguyen and
Silviu Cucerzan and
Aish Fenton and
James Caverlee},
editor = {Fernando Diaz and
Chirag Shah and
Torsten Suel and
Pablo Castells and
Rosie Jones and
Tetsuya Sakai},
title = {{Fairness among New Items in Cold Start Recommender Systems}},
booktitle = {{SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021}},
pages = {767--776},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3404835.3462948},
doi = {https://doi.org/10.1145/3404835.3462948}
}