An Neural Collaborative Filtering (NCF) based Recommender System for Personalized Rehabilitation Exercises.
Yoon-Seop ChangMikyong HanBoosun JeonJae-Chul KimNohSam ParkPublished in: ICTC (2023)
Keyphrases
- recommender systems
- collaborative filtering
- personalized recommendation
- user profiles
- product recommendation
- information filtering
- user modeling
- user model
- context aware recommendation
- network architecture
- matrix factorization
- web personalization
- user specific
- data sparsity
- personal preferences
- personalized search
- user preferences
- user interests
- user profiling
- neural network
- personalized services
- recommendation systems
- cold start problem
- collaborative filtering recommender systems
- virtual reality
- cold start
- information overload
- recommendation quality
- user context
- associative memory
- neural model
- implicit feedback
- netflix prize
- online dating
- individual user
- collaborative recommendation
- deal with information overload
- pearson correlation coefficient
- demographic information
- latent factor models
- content based filtering
- transfer learning
- user feedback