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EN.601.666

Information Retrieval and Web Agents

Johns Hopkins University 3 credits Computer Science

Course Description

Same material as EN.601.466, for graduate students. An in-depth, hands-on study of current information retrieval techniques and their application to developing intelligent WWW agents. Topics include a comprehensive study of current document retrieval models, mail/news routing and filtering, document clustering, automatic indexing, query expansion, relevance feedback, user modeling, information visualization and usage pattern analysis. In addition, the course explores the range of additional language processing steps useful for template filling and information extraction from retrieved documents, focusing on recent, primarily statistical methods. The course concludes with a study of current issues in information retrieval and data mining on the World Wide Web. Topics include web robots, spiders, agents and search engines, exploring both their practical implementation and the economic and legal issues surrounding their use. [Applications] Recommended Course Background: EN.601.226 Prerequisite(s): Students can receive credit for EN.601.466 or EN.601.666, but not both

Code
EN.601.666
Credits
3
Subject
Computer Science

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