Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability.
Mihaela CurmeiSarah DeanBenjamin RechtPublished in: ICML (2021)
Keyphrases
- recommender systems
- collaborative filtering
- user modeling
- information filtering
- transitive closure
- matrix factorization
- knowledge discovery
- user preferences
- state space
- stochastic optimization
- information overload
- recommendation systems
- monte carlo
- user profiling
- scientific discovery
- neural network
- trust aware
- learning automata
- data sparsity
- user modelling
- recommendation quality
- genetic algorithm
- stochastic model
- user model
- user profiles
- markov chain
- machine learning
- databases
- data sets