Knowledge Discovery in a Recommender System: The Matrix Factorization Approach.
Murchhana TripathySantilata ChampatiHemanta Kumar BhuyanPublished in: J. Inf. Knowl. Manag. (2022)
Keyphrases
- matrix factorization
- recommender systems
- knowledge discovery
- collaborative filtering
- factorization methods
- negative matrix factorization
- low rank
- factor analysis
- nonnegative matrix factorization
- user preferences
- implicit feedback
- cold start problem
- data mining
- machine learning
- data sparsity
- formal concept analysis
- data analysis
- item recommendation
- data mining techniques
- association rules
- cold start
- personalized ranking
- personalized recommendation
- data matrix
- latent factors
- variational bayesian
- recommendation quality
- user interests
- text mining
- user profiles
- information retrieval