Solving the Sparsity Problem in Recommendations via Cross-Domain Item Embedding Based on Co-Clustering.
Yaqing WangChunyan FengCaili GuoYunfei ChuJenq-Neng HwangPublished in: WSDM (2019)
Keyphrases
- cross domain
- sentiment classification
- multiple domains
- user preferences
- domain adaptation
- transfer learning
- knowledge transfer
- text categorization
- high dimensional
- recommender systems
- clustering algorithm
- information systems
- target domain
- e government
- collaborative filtering
- knowledge discovery
- pairwise
- reinforcement learning
- case study
- user ratings
- data mining
- cross domain learning