Probability modeling of accesses to the web parts of portal

The analysis of behavior of portal visitors is one of the most important parts of web portal optimization. The results of the analysis are important for the further correction and improvement of web part organization. The aim of the paper is modeling of probabilities‘ accesses to the categories of web parts of portal. We deal with the access probabilities to the individual categories of faculty portal content depending on the day’s hour and the week’s day. The probabilities are estimated using multinomial logit model for employees and students separately. In logit models, in case of students and employees, the week’s days present statistically significant signs, representing dummy variables (MON, TUE,…) in the model. On the other hand, day’s hours representing with variables HOUR_DAY and their square HOUR_DAY_Q, are shown as statistically significant signs only in the case of students. These results correspond with the computing probabilities wherein the probabilities of access to web parts of the portal are more stable in the case of employees than of students during the day. The analysis provided us several interesting and surprising results. For instance, from the analysis, results follow that the part study is the most visited part by students in the evening and night hours. The analysis results confirmed general trends, for example the part announcements is the most visited part in morning’s hours, at the beginning of the week especially. All of the analysis results will help us to further optimize our web portal. This is especially point in level of portal adaptivity on the basis user and access hour on portal