A Novelty-based Evaluation Method for Information Retrieval

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In 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.
5 pages

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Computation and Language, H.3.3

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http://salesiana.dossiersoluciones.com/handle/123456789/30442

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cs/0011002
 http://arxiv.org/abs/cs/0011002
 Proceedings of the 2nd International Conference on Language Resources and Evaluation (LREC-2000), pp.1637-1641, Jun. 2000

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arXiv