ACIRS: A Comprehensive Item Based Clustering Approach to Recommend Appropriate Items in Recommender System.
Mahamudul HasanFarzana Aktar LubnaSadia ChowdhuryNusrat Jarin HaqueTowsif Ahmed OmiPublished in: ICCAI (2019)
Keyphrases
- recommender systems
- collaborative filtering
- clustering algorithm
- k means
- cluster analysis
- clustering method
- recommendation systems
- matrix factorization
- self organizing maps
- user profiles
- data mining tasks
- information overload
- user preferences
- graph theoretic
- categorical data
- information filtering
- data sets
- neural network
- cold start problem
- hierarchical clustering
- spectral clustering
- unsupervised learning
- data mining
- fuzzy clustering
- document clustering
- anomaly detection
- case study
- information retrieval
- personalized recommendation
- recommendation quality