A Recommender System for Insurance Packages Based on Item-Attribute-Value Prediction.
Rathachai ChawuthaiChananya ChoosakChutika WeerayuthwattanaPublished in: ACIIDS (Companion) (2021)
Keyphrases
- attribute values
- recommender systems
- user preferences
- prediction accuracy
- cold start problem
- personalized recommendation
- collaborative filtering
- cold start
- prediction error
- rating prediction
- multi attribute
- categorical data
- prediction model
- information entropy
- continuous attributes
- user profiles
- numerical attributes
- decision tree learning
- multiple attribute decision making
- prediction algorithm
- latent factor models
- hybrid recommendation
- risk management
- personal preferences
- matrix factorization