Information access is one of the hottest topics of information society and it has become even more important since the advent of the Web. On one side, our society relies more and more on information, both for professional and personal goals. Information is nowadays considered as one of the most valuable and strategic goods: knowing the right information, at the right moment, as soon as it is available is a ‘must’ for all of us. On the other side, the amount of available information, especially on the Web and in modern Digital Libraries, is tremendously increasing over time.
In this context, the importance and role of user modeling and personalized information access are increasing. Equipped with user modeling tools capable of comprehending specific user information needs, new retrieval tools will be able to effectively filter out irrelevant information, to rank information in the most suitable way, to compare the contents of different documents, to personalize information presentation, and to adequately tailor man-machine interaction.
The new challenges motivated a range of new technologies for personalized information access within all information access paradigms – from classic “ad-hoc” information retrieval to information filtering, browsing, and visualization. New creative ideas emerged in a number of old and new research communities including user modeling, machine learning, adaptive hypermedia, digital libraries, semantic Web, human-computer interaction, and information visualization.
The goals of the workshop are to intensify the exchange of innovative ideas between the different research communities involved, to provide an overview of current activities in the area of personalized information access, and to point out connections between them. The workshop focuses especially on researchers that are working on ontologies, computational linguistics, user modeling and profiling, user adaptive interfaces, digital libraries, and their combination.
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