Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation.
Wenjing MengDeqing YangYanghua XiaoPublished in: CoRR (2020)
Keyphrases
- multi task learning
- user preferences
- item recommendation
- personal preferences
- recommender systems
- collaborative filtering
- multi task
- knowledge base
- multiple tasks
- user ratings
- recommendation systems
- recommendation algorithms
- knowledge acquisition
- transfer learning
- gaussian processes
- learning problems
- knowledge representation
- matrix factorization
- data mining
- theoretical analysis
- knowledge discovery
- prior knowledge
- learning tasks
- semi supervised learning
- random walk
- support vector machine
- multitask learning
- machine learning