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A Framework for Evaluating the Retrieval Effectiveness of Search Engines

A Framework for Evaluating the Retrieval Effectiveness of Search Engines
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Author(s): Dirk Lewandowski (Hamburg University of Applied Sciences, Germany)
Copyright: 2012
Pages: 24
Source title: Next Generation Search Engines: Advanced Models for Information Retrieval
Source Author(s)/Editor(s): Christophe Jouis (Universite Paris III, France and LIP6-Universite Pierre et Marie Curie, France), Ismail Biskri (Universite du Quebec A Trois Rivieres, Canada), Jean-Gabriel Ganascia (LIP6 and CNRS-Universite Pierre et Marie Curie, France)and Magali Roux (LIP6 and CNRS-Universite Pierre et Marie Curie, France)
DOI: 10.4018/978-1-4666-0330-1.ch020

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Abstract

This chapter presents a theoretical framework for evaluating next generation search engines. The author focuses on search engines whose results presentation is enriched with additional information and does not merely present the usual list of “10 blue links,” that is, of ten links to results, accompanied by a short description. While Web search is used as an example here, the framework can easily be applied to search engines in any other area. The framework not only addresses the results presentation, but also takes into account an extension of the general design of retrieval effectiveness tests. The chapter examines the ways in which this design might influence the results of such studies and how a reliable test is best designed.

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