PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems.
Azin GhazimatinOana BalalauRishiraj Saha RoyGerhard WeikumPublished in: WSDM (2020)
Keyphrases
- recommender systems
- collaborative filtering
- prediction accuracy
- user modeling
- user preferences
- matrix factorization
- service providers
- recommendation quality
- user profiling
- implicit feedback
- personalized recommendation
- collaborative filtering recommender systems
- trust aware
- cold start problem
- cold start
- domain theory
- information filtering
- rule base
- user profiles
- logical framework
- information overload
- user feedback
- generating explanations
- recommendation algorithms
- data sparsity
- user interests