Understanding Users' Subject Interests in the Web Site Based on Their Usage of Its Content: A Novel Two-Phase Clustering Framework.
Ahmad AmmariValentina V. ZharkovaPublished in: KES-AMSTA (2009)
Keyphrases
- clustering framework
- website
- user interests
- web content
- user communities
- browsing behavior
- web usage
- user profiles
- web logs
- navigational behavior
- navigational patterns
- recommender systems
- usage data
- clustering method
- web pages
- user behavior
- web users
- web usage mining
- text clustering
- semi supervised
- user interface
- digital libraries
- user preferences
- similarity metric
- web documents
- user interaction
- information retrieval systems
- metadata
- data sets