Learning Informative Priors from Heterogeneous Domains to Improve Recommendation in Cold-Start User Domains.
Liang Hu|Longbing Cao|Jian Cao|Zhiping Gu|Guandong Xu|Dingyu Yang
| Anthology ID: | DBLP:journals/tois/HuCCGXY16 |
|---|---|
| Year: | 2016 |
| Venue: | ACM Transactions on Information Systems (TOIS) |
| Pages: | 13:1-13:37 |
| URL: | https://doi.org/10.1145/2976737 |
| DOI: | https://doi.org/10.1145/2976737 |
| DBLP: | journals/tois/HuCCGXY16 |
| BibTeX: |
@article{hu-2016-learning,
author = {Liang Hu and
Longbing Cao and
Jian Cao and
Zhiping Gu and
Guandong Xu and
Dingyu Yang},
title = {{Learning Informative Priors from Heterogeneous Domains to Improve Recommendation in Cold-Start User Domains}},
journal = {ACM Transactions on Information Systems (TOIS)},
volume = {35},
number = {2},
pages = {13:1--13:37},
year = {2016},
url = {https://doi.org/10.1145/2976737},
doi = {https://doi.org/10.1145/2976737}
}