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Case Studies in Adaptive Information Access: Navigation, Search, and Recommendation
Abstract
Everyday hundreds of millions of users turn to the World-Wide Web as their primary source of information during their educational, business and personal lives. The Web is an essential source of businesscritical information but has also changed our personal lives, influencing the way that we learn, play, shop and socialise. During the course of a typical day an increasing number of us will interact with a variety of information services on the Web as we hunt for the information that we need. Very often these services will offer a number of alternative modes of information access and associated interfaces— navigation, search, and recommendation being the most common — each designed to help the user to efficiently fulfilling their current information needs. Navigation, search, and recommendation each have their own set of challenges when it comes to facilitating fast and efficient information access. In this chapter we will consider a number of these challenges and describe how they can be addressed by using techniques that allow information services to respond more intelligently to the needs and preferences of individuals and groups of users. Each challenge will be addressed in the form of a case-study focusing on one particular mode of information access (navigation, search, and recommendation) and an application scenario (mobile portals, Web search, and e-commerce), to describe how user profiling, personalization, and adaptive interface design can be combined to produce a more efficient and effective information service.
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