INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering.
Yunfan Wu|Qi Cao|Huawei Shen|Shuchang Tao|Xueqi Cheng
| Anthology ID: | DBLP:conf/sigir/WuCSTC22 |
|---|---|
| Volume: | SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022 |
| Year: | 2022 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 91-101 |
| URL: | https://doi.org/10.1145/3477495.3532000 |
| DOI: | https://doi.org/10.1145/3477495.3532000 |
| DBLP: | conf/sigir/WuCSTC22 |
| BibTeX: |
@inproceedings{wu-2022-inmo,
author = {Yunfan Wu and
Qi Cao and
Huawei Shen and
Shuchang Tao and
Xueqi Cheng},
editor = {Enrique Amig\'{o} and
Pablo Castells and
Julio Gonzalo and
Ben Carterette and
J. Shane Culpepper and
Gabriella Kazai},
title = {{INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering}},
booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}},
pages = {91--101},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3477495.3532000},
doi = {https://doi.org/10.1145/3477495.3532000}
}