Random Indexing Based Web User Clustering for Faster Navigation

Provided by: International Journal of Computer Science and Information Technologies
Topic: Data Management
Format: PDF
Users of a web site usually perform their interest oriented actions by clicking or visiting Web pages, which are traced in access log files. Clustering web user access patterns may capture common user interests to a web site, and in turn, build user profiles for advanced web applications, such as web caching and prefetching. The conventional web usage mining techniques for clustering web user sessions can discover usage patterns directly, but cannot identify the latent factors or hidden relationships among users' navigational behavior.

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