Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors.
Christina GöpfertYinlam ChowChih-Wei HsuIvan VendrovTyler LuDeepak RamachandranCraig BoutilierPublished in: WWW (2022)
Keyphrases
- recommender systems
- user modeling
- user profiles
- user model
- personalized recommendation
- collaborative filtering
- information processing
- user preferences
- concept lattice
- information filtering
- user modelling
- logic programming
- personal preferences
- feature vectors
- matrix factorization
- multi attribute
- web personalization
- cold start problem
- recommendation quality
- cold start
- information retrieval
- user profiling
- formal semantics
- formal concept analysis
- decision table
- semantic information
- e learning