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Document Type : Latin Dissertation
Language of Document : English
Record Number : 151408
Doc. No : ET23200
Main Entry : Daniel-Alexander Billsus
Title Proper : User Model Induction for Intelligent Information Access
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : The explosive growth of information available on the Internet has created a dear need fornovel methods that help users locate relevant information quickly and with minimaleffort. The central argument of this dissertation is that learning about users' multiple andpotentially changing interests calls for algorithms specifically designed for this purpose.Guided by this principle, I introduce the Adaptive Information Server (AIS), a client-server framework for domain-independent adaptive information access. I describe twoapplications that use AIS to learn about users' interests in daily news stories: one systemoperates on the World Wide Web, the other is geared towards wireless informationaccess. The description and evaluation of the underlying recommendation algorithmsform the core of the dissertation.First, I describe a content-based learning....-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL46436.pdf
Title and statement of responsibility and : User Model Induction for Intelligent Information Access [Thesis]
 
 
 
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