Between Multi-Attribute Utility Decision Making and Recommender Systems: Transparent, Instantaneous, Local Recommendations for Sparse Data.
James SchafferJames MichaelisAdrienne RaglinStephen RussellPublished in: FLAIRS Conference (2018)
Keyphrases
- sparse data
- recommender systems
- multi attribute
- utility theory
- utility function
- utility elicitation
- decision making
- decision makers
- collaborative filtering
- multi criteria
- decision analysis
- high dimensional
- decision theory
- cold start problem
- user preferences
- multi criteria decision making
- recommendation quality
- cold start
- access structure
- group decision making
- expected utility
- multiple attributes
- multi attribute decision making
- recommendation systems
- decision problems
- multi dimensional
- multiple criteria
- similarity search
- decision model
- recommendation algorithms
- personalized recommendation
- user profiles
- auction mechanisms
- databases
- data cube
- influence diagrams
- random projections
- knn
- probability distribution
- query processing
- preference relations