Abstract
The user model is considered the core content of any adaptive system. The process that is most challenging in an adaptation system is the modelling of user data. This paper is focused on creating a user model that can be suitably adapted to advertisement applications. To integrate data from different publicly available sources, a social component has been added to the user model, to support advertisements adaptation. In addition, a straightforward and lightweight user model has been targeted, which should be easy to integrate into any existing system. A tool based on this model is introduced and a study that assesses the effectiveness of it via a trial run of a prototype of the tool with different users is described.
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Qaffas, A.A., Cristea, A.I. (2016). Large Scale Evaluation of an Adaptive E-Advertising User Model. In: Obaidat, M., Lorenz, P. (eds) E-Business and Telecommunications. ICETE 2015. Communications in Computer and Information Science, vol 585. Springer, Cham. https://doi.org/10.1007/978-3-319-30222-5_7
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