TastePaths: Enabling Deeper Exploration and Understanding of Personal Preferences in Recommender Systems.
Savvas PetridisNediyana DaskalovaSarah MennickenSamuel F. WayPaul LamereJennifer ThomPublished in: IUI (2022)
Keyphrases
- personal preferences
- recommender systems
- collaborative filtering
- information filtering
- user profiles
- matrix factorization
- cold start problem
- user preferences
- data sparsity
- user modeling
- information overload
- recommendation quality
- user feedback
- user model
- temporal analysis
- cold start
- machine learning
- latent factor models
- personalized recommendation
- user interests
- recommendation algorithms
- deeper understanding
- recommendation systems
- database
- social interaction
- collaborative learning
- multi agent
- artificial intelligence
- information retrieval
- data sets