Abstract
In this paper, we describe the design and development of personal information assistant (PIA), a system aiming to meet individual needs of the searchers. The system’s goal is to provide more up-to-date and relevant information to users with respect to their needs and interests. The main component of the system is a profile learner for capturing temporal user needs, based on implicit feedback gathering techniques. It monitors the system usage, the documents viewed and other user actions in order to infer users’ changing needs.
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© 2006 Springer-Verlag Berlin Heidelberg
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Psarras, I., Jose, J. (2006). A System for Adaptive Information Retrieval. In: Wade, V.P., Ashman, H., Smyth, B. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2006. Lecture Notes in Computer Science, vol 4018. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11768012_40
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DOI: https://doi.org/10.1007/11768012_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34696-8
Online ISBN: 978-3-540-34697-5
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