Solving the Sparsity Problem in Recommendations via Cross-Domain Item Embedding Based on Co-Clustering.

Yaqing Wang|Chunyan Feng|Caili Guo|Yunfei Chu|Jenq-Neng Hwang


Anthology ID:DBLP:conf/wsdm/WangFGCH19
Volume:Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019
Year:2019
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:717-725
URL:https://doi.org/10.1145/3289600.3290973
DOI:https://doi.org/10.1145/3289600.3290973
DBLP:conf/wsdm/WangFGCH19
BibTeX:
@inproceedings{wang-2019-solving, author = {Yaqing Wang and Chunyan Feng and Caili Guo and Yunfei Chu and Jenq-Neng Hwang}, editor = {J. Shane Culpepper and Alistair Moffat and Paul N. Bennett and Kristina Lerman}, title = {{Solving the Sparsity Problem in Recommendations via Cross-Domain Item Embedding Based on Co-Clustering}}, booktitle = {{Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019}}, pages = {717--725}, publisher = {ACM}, year = {2019}, url = {https://doi.org/10.1145/3289600.3290973}, doi = {https://doi.org/10.1145/3289600.3290973} }