The performance of information retrieval systems varies significantly by test topics. Even for those systems that have performed well on average, the results for some difficult topics are still poor. Previous studies have revealed that different optimization techniques should be used for those difficult topics. However, a prerequisite of the…

In the past few years, universities have become much more involved in outcomes assessment. Outside of the classroom analysis of learning outcomes, an investigation is performed into the use of current data mining tools to assess the issue of student retention within the Computer Information Systems (CIS) department. Utilizing both a historical…

Information systems increasingly provide options for visually inspecting data during the process of information discovery and exploration. Little research has dealt so far with user interactions with these systems, and specifically with the effects of characteristics of the displayed data and the user on performance with such systems. The study…

Textual properties of documents were analyzed to identify predictive variables for various document qualities by means of statistical and linguistic methods. A collection of 1000 documents was created, and each document was judged in terms of nine document qualities (accuracy, reliability, objectivity, depth, author/producer credibility,…

It is evident from previous research that user satisfaction is a multidimensional, subjective variable which can be affected by many factors other than performance of the system or searcher. This article draws on information retrieval and information systems literature in an attempt to understand what user satisfaction is, how it is measured, what…