Variational Autoencoders for Top-K Recommendation with Implicit Feedback.
Bahare Askari|Jaroslaw Szlichta|Amirali Salehi-Abari
| Anthology ID: | DBLP:conf/sigir/AskariSS21 |
|---|---|
| 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: | 2061-2065 |
| URL: | https://doi.org/10.1145/3404835.3462986 |
| DOI: | https://doi.org/10.1145/3404835.3462986 |
| DBLP: | conf/sigir/AskariSS21 |
| BibTeX: |
@inproceedings{askari-2021-variational,
author = {Bahare Askari and
Jaroslaw Szlichta and
Amirali Salehi-Abari},
editor = {Fernando Diaz and
Chirag Shah and
Torsten Suel and
Pablo Castells and
Rosie Jones and
Tetsuya Sakai},
title = {{Variational Autoencoders for Top-K Recommendation with Implicit Feedback}},
booktitle = {{SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021}},
pages = {2061--2065},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3404835.3462986},
doi = {https://doi.org/10.1145/3404835.3462986}
}