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How Predictable Are You? A Comparison of Prediction Algorithms for Web Page Revisitation

dc.contributor.authorKawase, Ricardode_DE
dc.contributor.authorPapadakis, Georgede_DE
dc.contributor.authorHerder, Eelcode_DE
dc.contributor.editorHartmann, Melaniede_DE
dc.contributor.editorHerder, Eelcode_DE
dc.contributor.editorKrause, Danielde_DE
dc.contributor.editorNauerz, Andreasde_DE
dc.date.accessioned2017-11-15T15:01:01Z
dc.date.available2017-11-15T15:01:01Z
dc.date.issued2010
dc.description.abstractUsers return to Web pages for various reasons. Apart from pages visited due to backtracking, users typically monitor a number of favorite pages, while dealing with tasks that reoccur on an infrequent basis. In this paper, we introduce a novel method for predicting the next revisited page in a certain user context that, unlike existing methods, doesn’t rely on machine learning algorithms. We evaluate it over a large data set comprising the navigational activity of 25 users over a period of 6 months. The outcomes suggest a significant improvement over methods typically used in this context, thus paving the way for exploring new means of improving user’s navigational support.
dc.identifier.urihttp://abis.l3s.uni-hannover.de/images/proceedings/abis2010/abis7.pdfde_DE
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/5090
dc.language.isoende_DE
dc.relation.ispartof18th Intl. Workshop on Personalization and Recommendation on the Web and Beyondde_DE
dc.titleHow Predictable Are You? A Comparison of Prediction Algorithms for Web Page Revisitationde_DE
dc.typeText/Conference Paper
gi.document.qualitydigidoc

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