Employing neighborhood reduction for alleviating sparsity and cold start problems in user-based collaborative filtering.
Zhipeng Zhang|Yao Zhang|Yonggong Ren
| Anthology ID: | DBLP:journals/ir/ZhangZR20 |
|---|---|
| Year: | 2020 |
| Venue: | Discover Computing |
| Pages: | 449-472 |
| URL: | https://doi.org/10.1007/S10791-020-09378-W |
| DOI: | https://doi.org/10.1007/S10791-020-09378-W |
| DBLP: | journals/ir/ZhangZR20 |
| BibTeX: |
@article{zhang-2020-employing,
author = {Zhipeng Zhang and
Yao Zhang and
Yonggong Ren},
title = {{Employing neighborhood reduction for alleviating sparsity and cold start problems in user-based collaborative filtering}},
journal = {Discover Computing},
volume = {23},
number = {4},
pages = {449--472},
year = {2020},
url = {https://doi.org/10.1007/S10791-020-09378-W},
doi = {https://doi.org/10.1007/S10791-020-09378-W}
}