Dynamic Linking of Smart Digital Objects Based on User Navigation Patterns

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dc.creatorElango, Aravind
dc.creatorBollen, Johan
dc.creatorNelson, Michael L.
dc.date2004-01-28
dc.date.accessioned2026-07-07T03:20:51Z
dc.date.available2026-07-07T03:20:51Z
dc.descriptionWe discuss a methodology to dynamically generate links among digital objects by means of an unsupervised learning mechanism which analyzes user link traversal patterns. We performed an experiment with a test bed of 150 complex data objects, referred to as buckets. Each bucket manages its own content, provides methods to interact with users and individually maintains a set of links to other buckets. We demonstrate that buckets were capable of dynamically adjusting their links to other buckets according to user link selections, thereby generating a meaningful network of bucket relations. Our results indicate such adaptive networks of linked buckets approximate the collective link preferences of a community of user
dc.descriptionpages: 12
dc.identifierhttps://arxiv.org/abs/cs/0401029
dc.identifierhttp://arxiv.org/abs/cs/0401029
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/31977
dc.subjectDigital Libraries
dc.subjectH.3.7.1
dc.titleDynamic Linking of Smart Digital Objects Based on User Navigation Patterns
dc.typetext

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