Can we model how fraudsters work to distinguish them from normal users? Can we predict not just which movie a person will like, but also why? How can we find when a student will become confused or where patients in a hospital system are getting infected? How can we effectively model large attributed graphs of complex interactions? In this dissertation we understand user behavior through modelin...

In this paper, we have proposed a user model for computer based drinking behavior change intervention and recommender systems. We discuss specific requirements of user modeling in health promotion and specifically alcohol interventions. We believe that making behavior change systems available pervasively may lead to better and sustainable results. Therefore, our proposed user model takes advant...

Contextual data plays an important role in modeling search engine users’ behaviors on both query auto-completion (QAC) log and normal query (click) log. User’s recent search history on each log has been widely studied individually as the context to benefit the modeling of users’ behaviors on that log. However, there is no existing work that explores or incorporates both logs together for contex...

Historically, predictive human performance modeling has been successful at predicting the task execution time of skilled users on a desktop computer. More recent work has predicted novice behavior in web searches. This paper reports on a collaborative effort between industry and academia to expand the scope of predictive modeling to the mobile phone domain, both skilled and novice behavior, and...

With the increasing of the amount of the scientific papers, it is very important and difficult for paper-sharing platforms to recommend related papers accurately for users. This paper tackles the problem by proposing a method that models user historical behavior. Through collecting the operations on scientific papers of online users and carrying on the detailed analysis, we build preference mod...

In this paper we propose an agent-based modeling study to assess policy options towards technological interventions to energy consumption behavior, in particular products also known as ‘Transformational Products’. They are novel domestic heating energy efficiency enabling devices, designed to change heating behavior of their users. Innovative behavior can then trigger social learning, i.e. prop...

Researchers have long converged that the evolution of a Social Networking Service (SNS) platform is driven by the interplay between users’ preferences (reflected in user-item consumption behavior) and the social network structure (reflected in user-user interaction behavior), with both kinds of users’ behaviors change from time to time. However, traditional approaches either modeled these two k...