Item feature refinement using matrix factorization and boosted learning based user profile generation for content-based recommender systems.
Abinash PujahariDilip Singh SisodiaPublished in: Expert Syst. Appl. (2022)
Keyphrases
- recommender systems
- matrix factorization
- user profiles
- collaborative filtering
- information filtering
- user preferences
- latent factor models
- cold start problem
- stochastic gradient descent
- item recommendation
- content based filtering
- user profiling
- low rank
- cold start
- user interests
- user feedback
- factor analysis
- personal preferences
- music recommendation
- providing personalized
- implicit feedback
- data sparsity
- personalized recommendation
- negative matrix factorization
- unsupervised learning
- active learning
- user ratings
- recommendation algorithms
- nonnegative matrix factorization
- factorization methods
- latent factors
- rating prediction