Abstract
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 fine-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 configurable depth and feeding a highly sophisticated user model needed to provide personalized services such as recommendation and search.
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References
Chen, M.C., Anderson, J.R., Sohn, M.H.: What can a mouse cursor tell us more?: correlation of eye/mouse movements on web browsing. In: CHI 2001: CHI 2001 extended abstracts on Human factors in computing systems, pp. 281–282. ACM, New York (2001)
Mueller, F., Lockerd, A.: Cheese: tracking mouse movement activity on websites, a tool for user modeling. In: CHI 2001: CHI 2001 extended abstracts on Human factors in computing systems, pp. 279–280. ACM, New York (2001)
Zhou, B., Hui, S.C., Fong, A.C.M.: Web usage mining for semantic web personalization. In: Proceedings of Workshop on Personalization on the Semantic Web (PerSWeb), Edinburgh, Scotland, July 2005, pp. 66–72 (2005)
Atterer, R., Wnuk, M., Schmidt, A.: Knowing the user’s every move: user activity tracking for website usability evaluation and implicit interaction. In: WWW 2006: Proceedings of the 15th international conference on World Wide Web, pp. 203–212. ACM, New York (2006)
Atterer, R., Schmidt, A.: Tracking the interaction of users with ajax applications for usability testing. In: CHI 2007: Proceedings of the SIGCHI conference on Human factors in computing systems, pp. 1347–1350. ACM, New York (2007)
Schmidt, K.-U., Stojanovic, L., Stojanovic, N., Thomas, S.: On enriching ajax with semantics: The web personalization use case. In: Franconi, E., Kifer, M., May, W. (eds.) ESWC 2007. LNCS, vol. 4519, pp. 686–700. Springer, Heidelberg (2007)
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Plumbaum, T., Stelter, T., Korth, A. (2009). Semantic Web Usage Mining: Using Semantics to Understand User Intentions. In: Houben, GJ., McCalla, G., Pianesi, F., Zancanaro, M. (eds) User Modeling, Adaptation, and Personalization. UMAP 2009. Lecture Notes in Computer Science, vol 5535. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02247-0_42
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DOI: https://doi.org/10.1007/978-3-642-02247-0_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02246-3
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