Fairness among New Items in Cold Start Recommender Systems.

Ziwei Zhu|Aish Fenton|Silviu Cucerzan|Jingu Kim|Trung Nguyen|Aish Fenton|Silviu Cucerzan|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{zhu-2021-fairness, author = {Ziwei Zhu and Aish Fenton and Silviu Cucerzan and Jingu Kim and Trung Nguyen and Aish Fenton and Silviu Cucerzan 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} }