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} }