Lunch 'n Learn presentation: Everyone googles - in the U.S, about 12 billion times a month (including search engines that aren’t Google). We are mostly pleased with the results we get. How can it be that we give an automated system a couple of words and it finds reasonably
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relevant documents among one hundred billion or so possibilities? Will our satisfaction with these tools increase or decrease as the Web and our expectations grow?
Dr. LaPaugh gives a peek “under the hood” and discuss core techniques used by search engines. These techniques range from word occurrence analysis for text documents, originating in the 1960s, to Web linking analysis, pioneered by Google’s 1998 PageRank document ranking method. Dr. LaPaugh also discusses the challenges of non-text media such as music and images and new techniques, including exploiting user behavior.
Bio: Andrea LaPaugh is a Professor of Computer Science. Her research is in the development and evaluation of methods for searching and analyzing information. She is currently teaching COS 435: Information Retrieval, Discovery, and Delivery.
For more information see http://blogs.princeton.edu/itsacademic/2009/03/foundations_and_future_of_information_searchfoundations_and_future_of_information_search.html.
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