Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation.
Wenjing MengDeqing YangYanghua XiaoPublished in: SIGIR (2020)
Keyphrases
- multi task learning
- user preferences
- item recommendation
- multi task
- personal preferences
- recommender systems
- multiple tasks
- collaborative filtering
- recommendation algorithms
- multitask learning
- knowledge representation
- gaussian processes
- knowledge base
- learning tasks
- recommendation systems
- knowledge acquisition
- matrix factorization
- learning problems
- transfer learning
- user ratings
- prior knowledge
- high order
- expert systems
- information extraction
- knowledge discovery
- probabilistic model