AAAI Publications, Twenty-Fifth AAAI Conference on Artificial Intelligence

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Web Personalization and Cohort Information Services for Natural Resource Managers
Crystal E. Redman

Last modified: 2011-08-04

Abstract


We aim to address yet unanswered questions in web personalization by providing an integrated view of documents found through different tools, considering user confidentiality, emphasizing the benefits of client-side web personalization, and highlighting the power of social webpage recommendation when traditional information retrieval and collaborative filtering methods are used in conjunction. These principles define a framework which leverages groupings of users with overlapping interests called user cohorts.

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