G. Roda, V. Zenz, M. Lupu, K. Järvelin, M. Sanderson, C. Womser-Hacker::
"So many topics, so little time";
SIGIR Forum, ACM (2009), S. 9 - 16.

Kurzfassung englisch:
In the context of creating large scale test collections, the present paper discusses methods of constructing a patent test collection for evaluation of prior art search. In particular, it addresses criteria for topic selection and identification of recall bases. These issues arose while organizing the CLEF-IP evaluation track and were the subject of an online discussion among the track's organizers and its steering committee. Most literature on building test collections is concerned with minimizing the costs of obtaining relevance assessments. CLEF-IP can afford to have large topics sets since relevance assessments are generated by exploiting existing manually created information. In a cost-benefit analysis, the only issue seems to be the computing time required by participants to run (tens or hundreds of) thousands of queries. This document describes the data sets and decisions leading to the creation of the CLEF-IP collection.

Information retrieval, data management, data curation, big data, evaluation

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Erstellt aus der Publikationsdatenbank der Technischen Universitšt Wien.