Non-popular Items for Accurate & Diverse Linear Auto-Encoding Recommenders.
| Anthology ID: | DBLP:conf/ictir/KhawarR22 |
|---|---|
| Volume: | ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11 - 12, 2022 |
| Year: | 2022 |
| Venue: | International Conference on the Theory of Information Retrieval (ICTIR) |
| Publisher: | ACM |
| Pages: | 98-102 |
| URL: | https://doi.org/10.1145/3539813.3545132 |
| DOI: | https://doi.org/10.1145/3539813.3545132 |
| DBLP: | conf/ictir/KhawarR22 |
| BibTeX: |
@inproceedings{khawar-2022-nonpopular,
author = {Farhan Khawar and
Adam Roegiest},
editor = {Fabio Crestani and
Gabriella Pasi and
\'{E}ric Gaussier},
title = {{Non-popular Items for Accurate & Diverse Linear Auto-Encoding Recommenders}},
booktitle = {{ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11 - 12, 2022}},
pages = {98--102},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3539813.3545132},
doi = {https://doi.org/10.1145/3539813.3545132}
}