FitNExT: Leveraging Transformers with Context-Augmented Start Tokens to Generate Recommendations for New Users in Connected Fitness at Peloton.
Shoya YoshidaO. Nganba MeeteiPublished in: BehavRec@RecSys (2023)
Keyphrases
- recommender systems
- user model
- personal preferences
- recommendation systems
- making recommendations
- user centric
- providing personalized
- online dating
- genetic programming
- active user
- contextual information
- context awareness
- user feedback
- collaborative filtering
- end users
- content creation
- current context
- daily life
- social context
- content based filtering
- user centered
- context dependent
- user experience
- user interaction
- context aware
- evolutionary algorithm
- neural network
- recommendation quality
- personalized recommender systems
- user activities
- online services
- individual user
- user ratings
- recommendation algorithms
- information overload
- line segments
- user interface
- genetic algorithm