Please use this identifier to cite or link to this item: http://dx.doi.org/10.18419/opus-2685
Authors: Hoffmann, Benjamin
Title: Comparison of standard and Zipf-based document retrieval heuristics
Issue Date: 2010
metadata.ubs.publikation.typ: Arbeitspapier
Series/Report no.: Technischer Bericht / Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik;2010,6
URI: http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-57811
http://elib.uni-stuttgart.de/handle/11682/2702
http://dx.doi.org/10.18419/opus-2685
Abstract: Document retrieval is the task to retrieve from a possibly huge collection of documents those which are most similar to a given query document. In this paper, we present a new heuristic for inexact top K retrieval. It is similar to the well-known index elimination heuristic and is based on Zipf's law, a statistical law observable in natural language texts. We compare the two heuristics with regard to retrieval performance and execution time. Therefore, we use a text collection consisting of scientific articles from various computer science conferences and journals. It turns out that our new approach is not better than index elimination. Interestingly, a combination of both heuristics yields the best results.
Appears in Collections:05 Fakultät Informatik, Elektrotechnik und Informationstechnik

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