Abstract
User models are important tools for personalization, especially in ecommerce applications. But capturing dynamically changing user needs is a challenge. One of the reasons for such difficulty is that the purchasing behavior of an individual is based on a number of different aspects. In this paper we identify these aspects as a combination of demographics, domain based expectations and transactions. Since each individual can demonstrate a unique combination of these aspects, to achieve finer personalization, such individuality will have to be captured in user models. In this paper we propose such a user model architecture, which also has the ability to self-improve adapting to changes of individual behavior and long term modeling possibilities.
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Alahakoon, O., Loke, S., Zaslavsky, A. (2007). Capturing Buying Behaviour Using a Layered User Model. In: Psaila, G., Wagner, R. (eds) E-Commerce and Web Technologies. EC-Web 2007. Lecture Notes in Computer Science, vol 4655. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74563-1_11
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DOI: https://doi.org/10.1007/978-3-540-74563-1_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74562-4
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