User modeling [15,9] is concerned with acquisition and representation of assumptions about users of technical systems, and with the exploitation of these assumptions for system individualization. In many user modeling systems, the following shortcomings can be observed: Assumptions about mental attitudes like knowledge or goals are modeled, while behaviororiented assumptions, e.g. about interac...

A large part of today’s information retrieval studies focuses on modeling user search behavior to improve search algorithms, evaluate their quality and simulate users. Most of previous research on user modeling considers homogeneous search environments, where search devices, users, their search tasks and corresponding search results are assumed to be uniform. However, real-world search environm...

Understanding the ways in which users interact with different online communities is crucial to social network analysis and community maintenance. We present an unsupervised neural model to learn linguistic descriptors for a user’s behavior over time within an online community. We show that the descriptors learned by our model capture the functional roles that users occupy in communities, in con...

Two beliefs, ease of use and usefulness, have been considered to be fundamental in determining the acceptance of various IS in the past decades. These beliefs may not, however, fully explain the users’ behavior in an emerging environment such as Internet banking. In this study, we introduce trust as another belief that has an impact on the acceptance of Internet banking. We collected 845 cases ...

Money-Laundering causes a higher prevalence of crime and reduces the desire tending to invest in productive activities. Also, it leads to weaken the integrity of financial markets and decrease government control over economic policy. Banks are able to prevent theft, fraud, money laundering conducted by customers through identification of their clients’ behavioral characteristics. This leads to ...