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Iterative Collaborative Ranking of Customers and Providers

dc.date.accessioned2006-07-12T17:06:52Z
dc.date.accessioned2018-11-24T10:24:58Z
dc.date.available2006-07-12T17:06:52Z
dc.date.available2018-11-24T10:24:58Z
dc.date.issued2006-07-04
dc.identifier.urihttp://hdl.handle.net/1721.1/33234
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/1721.1/33234
dc.description.abstractThis paper introduces a new application: predicting the Internet provider-customer market. We cast the problem in the collaborative filtering framework, where we use current and past customer-provider relationships to compute for each Internet customer a ranking of potential future service providers. Furthermore, for each Internet service provider (ISP), we rank potential future customers. We develop a novel iterative ranking algorithm that draws inspiration from several sources, including collaborative filtering, webpage ranking, and kernel methods. Further analysis of our algorithm shows that it can be formulated in terms of an affine eigenvalue problem. Experiments on the actual Internet customer-provider data show promising results.
dc.format.extent9 p.
dc.format.extent1308662 bytes
dc.format.extent269609 bytes
dc.language.isoen_US
dc.subjectNetwork Analysis
dc.subjectAutonomous Systems
dc.titleIterative Collaborative Ranking of Customers and Providers


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