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Part-of-speech tagging for client-side link prefetching
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
2007 (English)In: Proceedings of the IASTED European Conference on Internet and Multimedia Systems and Applications / [ed] Marco Roccetti, Anaheim: ACTA Press, 2007, 272-277 p.Conference paper (Refereed)Text
Abstract [en]

In this paper a client-side algorithm that learns and predicts user requests is presented. The proposed approach is based on a user behavior profile. The profile is based on textual information extracted from visited web pages. The novelty of the paper is in the use of a part-of-speech tagger to filter the useful user-keywords. The keywords comprising the profile are employed by a transparent and speculative link weighting mechanism. The generated weights are used in estimating future web traversing. Afterwards some linked web pages are prefetched and stored locally in the browser's cache. A comparison between the proposed algorithms and four other client-side algorithms yield improved cache-hit rates given a moderate bandwidth overhead.

Place, publisher, year, edition, pages
Anaheim: ACTA Press, 2007. 272-277 p.
Series
, IASTED International Conference on Internet and Multimedia Systems and Applications, ISSN 1482-7905
Keyword [en]
prefetching, user behavior modeling, bigrams
National Category
Computer Science Telecommunications
Identifiers
URN: urn:nbn:se:umu:diva-118236ISI: 000246358300045ISBN: 978-0-88986-652-2OAI: oai:DiVA.org:umu-118236DiVA: diva2:912040
Conference
IASTED European Conference on Internet and Multimedia Systems and Applications (EuroIMSA), MAR 14-16, 2007, Chamonix, FRANCE
Available from: 2016-03-15 Created: 2016-03-14 Last updated: 2016-03-15Bibliographically approved

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Georgakis, Apostolos
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Department of Applied Physics and Electronics
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ReferencesLink to record
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