05.10.2013 Aufrufe

Information und Wissen: global, sozial und frei? - Fachhochschule ...

Information und Wissen: global, sozial und frei? - Fachhochschule ...

Information und Wissen: global, sozial und frei? - Fachhochschule ...

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20 Kalervo Järvelin<br />

Abstract<br />

<strong>Information</strong> Retrieval:<br />

Technology, Evaluation and Beyond<br />

Kalervo Järvelin<br />

School of <strong>Information</strong> Sciences<br />

University of Tampere, Finland<br />

kalervo.jarvelin@uta.fi<br />

The ultimate goal of information retrieval (IR) research is to create ways to<br />

support humans to better access information in order to better carry out their<br />

tasks. Because of this, IR research has a primarily technological interest in<br />

knowledge creation – how to find information (better)? IR research therefore<br />

has a constructive aspect (to create novel systems) and an evaluation aspect<br />

(are they any good?). Evaluation is sometimes referred to as a hallmark and<br />

distinctive feature of IR research. No claim in IR is granted any merit unless<br />

it is shown, through rigorous evaluation, that the claim is well fo<strong>und</strong>ed.<br />

Technological innovation alone is not sufficient. In fact, much research in IR<br />

deals with IR evaluation and its methodology.<br />

Evaluation, in general, is the systematic determination of merit and significance<br />

of something using criteria against a set of standards. Evaluation therefore<br />

requires some object that is evaluated and some goal that should be<br />

achieved or served. In IR, both can be set in many ways. The object usually<br />

is an IR system or a system component – but what is an IR system? The goal<br />

is typically the quality of the retrieved result – but what is the retrieved result<br />

and how does one measure quality? These questions can be answered in alternative<br />

ways, which lead to different kinds of IR evaluation.<br />

Practical life with all its variability is difficult and expensive to investigate.<br />

Therefore surrogate and more easily measurable goals are employed in IR<br />

evaluation, typically the quality of the ranked result list instead of the work<br />

task result. The task performance process may also be cut down from a work<br />

task to a search task and down to running an individual query in a test collection.<br />

This simplification has led to standardization of research designs and<br />

tremendous success in IR research. However, as the goals and systems drift

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