Data Mining for User Modeling

Data Mining for User Modeling

Jose Antonio Iglesias Martinez (Department of Computer Science and Engineering, Carlos III University of Madrid, Madrid, Spain), Agapito Ledezma Espino (Department of Computer Science and Engineering, Carlos III University of Madrid, Madrid, Spain) and Araceli Sanchis de Miguel (Department of Computer Science and Engineering, Carlos III University of Madrid, Madrid, Spain)
DOI: 10.4018/joci.2012010103
OnDemand PDF Download:
$30.00
List Price: $37.50

Abstract

Nowadays, the systems that interact with the user, including computers, are improving very quickly. In this improvement, a great goal for the near future is to create systems able to adapt its behavior according to the needs of a particular user. The key element for this purpose is the user model. In this context, a goal of user modeling is to increase the effective use of computers and many other systems that require more sophistication in its interaction with the user. To achieve this goal, it is necessary to know how the users behave. Then, the anticipation of certain aspects of human behavior, such as goals, actions or preferences is possible. In this article, the development of user models using soft computing is presented. The main approaches to different user modeling are reviewed, and the main techniques used to develop user models are discussed. Also, a particular example is explained in detail.
Article Preview

What Is User Modeling (Um)?

UM is the process of profiling users by observing them in action. It is very important to consider that the model is created by observation. It is different from asking users about how they behave when they are using a certain system. It is different from talking with expert users who may know how users are supposed to behave. In fact, users themselves usually do not know how to describe what they do, especially if they are familiar with the tasks they perform. It happens because users usually behave leaving out activities that they do not even notice they are doing. They emphasize activities that they find difficult or boring and they do not realize that there are other ordinary activities that they perform, too. It means that the true could not exactly be what they believe to be true (Hackos & Redish, 1998).

Traditionally, the different methods for capturing the behavior of a user include survey, interview, group discussion, experiment and observation and so on. However, nowadays new technologies and techniques as data mining has been introduced in order to simplify this process. Research on UM can be traced back to the early 1970s, but it was in the mid-1980 when interesting research works on this area appear. Since the early 1990s, we are witnessing and information revolution; currently, the World Wide Web and other new platforms have populated the lives of an increasing number of people with many different computing systems and large quantities of information are produced at a fast rate. These aspects tend to increase the need for user modeling and personalization.

Complete Article List

Search this Journal:
Reset
Open Access Articles
Volume 7: 4 Issues (2017)
Volume 6: 4 Issues (2016)
Volume 5: 4 Issues (2015)
Volume 4: 4 Issues (2014)
Volume 3: 4 Issues (2012)
Volume 2: 4 Issues (2011)
Volume 1: 4 Issues (2010)
View Complete Journal Contents Listing