Integrating an Attention Mechanism and Convolution Collaborative Filtering for Document Context-Aware Rating Prediction.
Bangzuo ZhangHaobo ZhangXiaoxin SunGuozhong FengChunguang HePublished in: IEEE Access (2019)
Keyphrases
- context aware
- rating prediction
- collaborative filtering
- attention mechanism
- matrix factorization
- recommender systems
- contextual information
- user ratings
- mobile devices
- visual attention
- sentiment analysis
- information retrieval
- recommendation systems
- user preferences
- context aware systems
- user profiles
- transfer learning
- real time
- saliency map
- bit rate
- recommendation algorithms
- prediction accuracy
- personalized recommendation
- eye tracking
- text mining
- multimedia
- machine learning