RecXplainer: Post-Hoc Attribute-Based Explanations for Recommender Systems.
Sahil VermaAnurag BeniwalNarayanan SadagopanArjun SeshadriPublished in: CoRR (2022)
Keyphrases
- post hoc
- recommender systems
- collaborative filtering
- user profiles
- user preferences
- matrix factorization
- information overload
- recommendation quality
- cold start
- information filtering
- cold start problem
- user profiling
- trust aware
- domain theory
- product recommendation
- data sparsity
- content based filtering
- causal models
- implicit feedback
- learning environment
- generating explanations
- personalized recommendation
- recommendation systems
- user feedback
- user model
- text classification
- expert systems