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dc.contributor.authorCard, Paulen_US
dc.date.accessioned2007-07-12T19:41:47Z
dc.date.available2007-07-12T19:41:47Z
dc.date.issued2001-03-01T00:00:00Zen_US
dc.identifier.urihttp://hdl.handle.net/1993/2674
dc.description.abstractWeb caching attempts to keep copies of popular content in a local cache. This should save the cost of a later download by the same or another user. Studies in world wide web (WWW) request patterns have indicated that 70% of requests from a web caching group are one time references. This implies that in a group of people there is very little overlap in the content they view. This thesis describes a system that helps increase the overlap of the pages viewed by a local cache group. It works by passive learning what each user is interested in and builds a small database of the sites that they find to be good references. It then shares these databases with other users with similar interests. This shows promise of becoming a much faster and more accurate watt of finding references compared to search engines. It also has application in e-commerce as on-line businesses are very interested in their visitors interests. (Abstract shortened by UMI.)en_US
dc.format.extent2355193 bytes
dc.format.extent184 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleDistributed user interest modeling and WWW reference locatoren_US
dc.typeinfo:eu-repo/semantics/masterThesis
dc.typemaster thesisen_US
dc.degree.disciplineElectrical and Computer Engineeringen_US
dc.degree.levelMaster of Science (M.Sc.)en_US


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