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The past, present and future of web information retrieval
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Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems table of contents
Paris, France
SESSION: Invited tutorial 1 table of contents
Pages: 46 - 46  
Year of Publication: 2004
ISBN:158113858X
Author
Monika Henzinger  Google Inc., Mountain View, CA
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGMOD: ACM Special Interest Group on Management of Data
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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ABSTRACT

Web search engines have emerged as one of the central applications on the Internet. In fact, search has become one of the most important activities that people engage in on the the Internet. Even beyond becoming the number one source of information, a growing number of businesses are depending on web search engines for customer acquisition.The first generation of web search engines used text-only retrieval techniques. Google revolutionized the field by deploying the PageRank technology - an eigenvector-based analysis of the hyperlink structure - to analyze the web in order to produce relevant results. Moving forward, our goal is to achieve a better understanding of a page with a view towards producing even more relevant results.An exciting new form of search for the future is query-free search: While a user performs her daily tasks, searches are automatically performed to supply her with information that is relevant to her activity. We present one type of query-free search, namely query-free news search: While a user watches TV news the system finds in real-time web pages that are relevant to the news stories.