User Profile Modeling and Learning

Abstract

A major theme of Information Science and Technology research is the study of personalization. The key issue of personalization is the problem of understanding human behaviour and its simulation by machines, in a sense that machines can treat users as individuals with respect to their distinct personalities, preferences, goals and so forth. The general fields of research in personalization are user modeling and adaptive systems, which can be traced back to the late 70s, with the use of models of agents by Perrault, Allen, and Cohen (1978) and the introduction of stereotypes by Rich (1979). With the wide progress in hardware and telecom­munications technologies that has led to a vast increase in the services, volume and multimodality (text and multimedia) of content, in the last decade, the need for personalization systems is critical, in order to enable both consumers to manage the volume and complexity of available information and vendors to be competitive in the market.

Personalized Semantic Retrieval and Summarization of Web Based Documents

“…Browsing histories capture the relationship between user's interests and his click history in which sufficient contextual information is already hidden in the web log. User interests [56] always constitute the most important part of the user profile in adaptive IR and filtering systems that dealt with large volumes of information.…”

“…User modeling [22] describes the process of creating a set of system assumptions about all aspects of the user, which are relevant to the adaptation of the current user interactions. This can include user goals, interests, level of expertise, abilities and preferences.…”