Abstract
This study concentrates on adapting the user profile model (UPM) based on individual’s continuous interaction with preferred search engines. UPM re-ranks the retrieved information from World Wide Web (WWW) to provide effective personalization for a given search query. The temporal adaptation of UPM is considered as a one-to-one socio-interaction between the dynamics of WWW and cognitive information seeking behavior of the user. The dynamics of WWW and consensus relevant ranking of information is a collaborative effect of inter-connected users, which makes it difficult to analyze in-parts. The proposed system is named as Search-in-Synchrony and a preliminary study is done on user group with background in computational neuroscience. Human-agent interaction (HAI) can implicitly model these dynamics. Hence, a primary attempt to converge the two fields is highlighted - HAI and statistically learned UPM to incorporate cognitive abilities to search agents.
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© 2009 Springer-Verlag Berlin Heidelberg
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Dhir, C.S., Lee, S.Y. (2009). Search-In-Synchrony: Personalizing Web Search with Cognitive User Profile Model. In: Köppen, M., Kasabov, N., Coghill, G. (eds) Advances in Neuro-Information Processing. ICONIP 2008. Lecture Notes in Computer Science, vol 5507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03040-6_10
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DOI: https://doi.org/10.1007/978-3-642-03040-6_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03039-0
Online ISBN: 978-3-642-03040-6
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