Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks.
Yabo NiDan OuShichen LiuXiang LiWenwu OuAnxiang ZengLuo SiPublished in: CoRR (2018)
Keyphrases
- multiple tasks
- learning process
- multiple users
- user interface
- collaborative filtering
- learning algorithm
- end users
- user requirements
- user oriented
- user feedback
- novice users
- recommender systems
- user groups
- user interaction
- user profiles
- supervised learning
- knowledge acquisition
- user centric
- user model
- relevance feedback
- active learning
- feedback mechanisms
- individual user
- user preferences
- information overload
- user satisfaction
- user experience
- web pages
- search engine