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Search engine architectures from conventional to Brian Ulicny and Ken Baclawski. New metrics for newsblog
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Conference on Information and Knowledge Management archive
Proceeding of the 2008 ACM workshop on Large-Scale distributed systems for information retrieval table of contents
Napa Valley, California, USA
SESSION: Keynote table of contents
Pages 1-2  
Year of Publication: 2008
ISBN:978-1-60558-254-2
Author
Torsten Suel  Yahoo! Research, Sunnyvale, CA, USA
Sponsors
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
SIGIR: ACM Special Interest Group on Information Retrieval
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

A significant amount of research has focused on the problem of implementing large-scale search engines in peer-to-peer environments. However, gaps in both performance and perspective remain between conventional approaches and those explored in the peer-to-peer community. In this talk, we give a brief overview of search engine architectures and performance issues from the perspective of a researcher focusing on conventional engines. We then discuss the main differences between the two approaches, suggest areas for fruitful interaction, and list open problems.