Predicting Smartphone Users' Future Locations through Deep Reinforcement Learning.
Mhd IrvanTran Phuong ThaoRyosuke KobayashiToshiyuki NakataRie Shigetomi YamaguchiPublished in: CANDAR (Workshops) (2020)
Keyphrases
- reinforcement learning
- daily life
- predicting future
- mobile applications
- end users
- information sources
- user satisfaction
- multi agent
- dynamic programming
- recommender systems
- geographic location
- user interaction
- user studies
- user model
- long term
- user interface
- metadata
- novice users
- action selection
- user generated content
- multimedia
- user experience
- data sets
- collaborative filtering
- social media