Utilizing Collaborative Filtering to Recommend Opportunities for Positive Affect in daily life.
Panote SiriarayaKenta SuzukiShinsuke NakajimaPublished in: HealthRecSys@RecSys (2019)
Keyphrases
- daily life
- collaborative filtering
- matrix factorization
- recommender systems
- everyday life
- positive and negative
- pervasive computing
- activity recognition
- data sparsity
- deal with information overload
- health monitoring
- personalized recommendation
- smart devices
- latent factor models
- prior knowledge
- user interests
- transfer learning
- user profiles
- data points