CDLFM: cross-domain recommendation for cold-start users via latent feature mapping.
Xinghua WangZhaohui PengSenzhang WangPhilip S. YuWenjing FuXiaokang XuXiaoguang HongPublished in: Knowl. Inf. Syst. (2020)
Keyphrases
- cold start
- cross domain
- recommender systems
- cold start problem
- user ratings
- collaborative filtering
- data sparsity
- transfer learning
- feature mapping
- tag recommendation
- implicit feedback
- user preferences
- personalized recommendation
- recommendation algorithms
- recommendation systems
- matrix factorization
- user interests
- sentiment classification
- information overload
- knowledge transfer
- user feedback
- data sets
- data mining
- filtering algorithm
- text categorization
- text classification
- latent space
- learning process
- feature space
- data analysis
- learning algorithm
- machine learning