Attention-based multi attribute matrix factorization for enhanced recommendation performance.
Dongsoo JangQinglong LiChaeyoung LeeJaekyeong KimPublished in: Inf. Syst. (2024)
Keyphrases
- matrix factorization
- multi attribute
- collaborative filtering
- recommender systems
- item recommendation
- data sparsity
- cold start problem
- utility function
- utility theory
- latent factor models
- low rank
- access structure
- multiple attributes
- negative matrix factorization
- factorization methods
- multi attribute decision making
- nonnegative matrix factorization
- recommendation systems
- factor analysis
- attribute values
- tensor factorization
- multi dimensional
- implicit feedback
- personalized recommendation
- user preferences
- probabilistic matrix factorization
- cold start
- user ratings
- stochastic gradient descent
- missing data
- reverse auction
- pattern recognition
- special case
- preference models
- decision makers
- user profiles
- data sets