A Dynamic Web Recommender System Using Hard and Fuzzy K-Modes Clustering.
Panayiotis ChristodoulouMarios LestasAndreas S. AndreouPublished in: AIAI (2013)
Keyphrases
- recommender systems
- fuzzy clustering
- dynamic content
- website
- clustering algorithm
- k means
- user generated content
- web resources
- clustering method
- web objects
- web applications
- fuzzy c means clustering
- collaborative filtering
- fuzzy logic
- unsupervised learning
- dynamic environments
- web documents
- fuzzy clustering algorithm
- user profiling
- hierarchical clustering
- linked data
- web snippets
- information overload
- clustering analysis
- web pages
- web people search
- cluster analysis
- fuzzy rules
- fuzzy sets
- data points
- web usage mining
- user model
- product recommendation
- information sources
- dynamically generated
- information extraction
- fuzzy k means
- web sessions
- possibilistic c means
- tolerance rough set
- end users