An app usage recommender system: improving prediction accuracy for both warm and cold start users.
Di HanJianqing LiWenting LiRuibin LiuHai ChenPublished in: Multim. Syst. (2019)
Keyphrases
- user ratings
- cold start
- prediction accuracy
- recommender systems
- cold start problem
- data sparsity
- collaborative filtering
- improve the prediction accuracy
- predictive power
- recommendation quality
- collaborative filtering algorithms
- web page prediction
- matrix factorization
- user profiles
- active learning
- website
- information retrieval