• Donald MetzlerEmail author
Part of the The Information Retrieval Series book series (INRE, volume 27)


This chapter describes the genesis of search engine technologies, beginning with early services such as Archie, Gopher, Veronica, and Jughead, which were used to search content contained on FTP servers, and ending with today’s modern search engines. An overview of information retrieval research, both from an academic and industrial perspective, is then described, providing insights into the rapidly evolving nature of research into search engine technologies. The chapter then describes the importance of features, and how feature-based retrieval models came to arise as the result of a paradigm shift in information retrieval technology. The chapter then concludes by describing the desired characteristics that a robust, powerful feature-based retrieval framework should embody.


Term Frequency Retrieval Model Query Term Query Expansion Inverse Document Frequency 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.Natural Language Group, Information Sciences InstituteUniversity of Southern CaliforniaMarina del ReyUSA

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