Semantic Web Usage Mining: Using Semantics to Understand User Intentions


In this paper, we present a novel approach to track user interaction on a web page based on JavaScript-events combined with the Semantic Web standard Microformats to obtain more ne-grained and meaningful user information. Today's user tracking solutions are mostly page-based and lose valuable information about user interactions. To get an in-depth understanding of user's interests and intentions from observing him while interacting on a website, interaction data needs to be tracked on an event rather than on a page basis enhanced with semantic knowledge to understand the user intention. Our goal is to create an easy-to-integrate user tracker that is capable of collecting tracking information of con gurable depth and feeding a highly sophisticated user model needed to provide personalized services such as recommendation and search.

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Till Plumbaum, Tino Stelter, Alexander Korth
User Modeling and Adaptive Hypermedia and Adaptive Web-Based Systems (UMAP)