Enhancing recommendation stability of collaborative filtering recommender system through bio-inspired clustering ensemble method.
Logesh RaviV. SubramaniyaswamyMalathi DevarajanSivaramakrishnan NatarajanVaradarajan VijayakumarPublished in: Neural Comput. Appl. (2020)
Keyphrases
- bio inspired
- collaborative filtering
- recommender systems
- ensemble methods
- cluster ensemble
- swarm intelligence
- matrix factorization
- benchmark datasets
- personalized recommendation
- prediction accuracy
- online dating
- recommendation systems
- user preferences
- information filtering
- ensemble learning
- cold start
- decision trees
- cold start problem
- data sparsity
- recommendation quality
- random forest
- k means
- clustering algorithm
- recommendation algorithms
- content based filtering
- product recommendation
- base classifiers
- artificial neural networks
- text clustering
- machine learning methods
- user model
- latent factor models
- user similarity
- neural network
- hybrid recommendation
- user profiles
- user ratings
- implicit feedback
- ensemble classifier
- genetic programming
- machine learning