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dc.contributor.author Card, Paul en_US
dc.date.accessioned 2007-07-12T19:41:47Z
dc.date.available 2007-07-12T19:41:47Z
dc.date.issued 2001-03-01T00:00:00Z en_US
dc.identifier.uri http://hdl.handle.net/1993/2674
dc.description.abstract Web 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.extent 2355193 bytes
dc.format.extent 184 bytes
dc.format.mimetype application/pdf
dc.format.mimetype text/plain
dc.language en en_US
dc.language.iso en_US
dc.rights info:eu-repo/semantics/openAccess
dc.title Distributed user interest modeling and WWW reference locator en_US
dc.type info:eu-repo/semantics/masterThesis
dc.degree.discipline Electrical and Computer Engineering
dc.degree.level Master of Science (M.Sc.) en_US


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