A Novelty-based Evaluation Method for Information Retrieval

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dc.creatorFujii, Atsushi
dc.creatorIshikawa, Tetsuya
dc.date2000-11-02
dc.date.accessioned2026-07-07T03:16:40Z
dc.date.available2026-07-07T03:16:40Z
dc.descriptionIn information retrieval research, precision and recall have long been used to evaluate IR systems. However, given that a number of retrieval systems resembling one another are already available to the public, it is valuable to retrieve novel relevant documents, i.e., documents that cannot be retrieved by those existing systems. In view of this problem, we propose an evaluation method that favors systems retrieving as many novel documents as possible. We also used our method to evaluate systems that participated in the IREX workshop.
dc.description5 pages
dc.identifierhttps://arxiv.org/abs/cs/0011002
dc.identifierhttp://arxiv.org/abs/cs/0011002
dc.identifierProceedings of the 2nd International Conference on Language Resources and Evaluation (LREC-2000), pp.1637-1641, Jun. 2000
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/30442
dc.subjectComputation and Language
dc.subjectH.3.3
dc.titleA Novelty-based Evaluation Method for Information Retrieval
dc.typetext

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