A Classification on Different Aspects of User Modelling in Personalized Web Search

Abstract

In the context of personalization has recently been doing a lot of researches and applications. A common component of all research in the field of personalization is user modeling that also called user profiling. The main work of the user modeling in the field of personalization in the first step is capturing information about users and in the next step is to identify the user's preferences and interests and efficient use this information for increasing the retrieval performance. How to collect information about the user, user model structures and the used techniques to create a user model is different in each of personalized applications. In the previous studies, there was not a complete classification on the major dimensions of user models. In this research, we present an appropriate classification on the major dimensions of user models. We aim to present a survey on applications and techniques of user modeling and make a classification of user modeling by considering the existing literature and research and we hope can help to researchers in better-developing on the area.