Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/2237
Title: Term Weighting based on Document Revision History
Authors: Sérgio Nunes
Cristina Ribeiro
Gabriel David
Issue Date: 2011
Abstract: In real-world information retrieval systems, the underlying document collection is rarely stable or definitive. This work is focused on the study of signals extracted from the content of documents at different points in time for the purpose of weighting individual terms in a document. The basic idea behind our proposals is that terms that have existed for a longer time in a document should have a greater weight. We propose 4 term weighting functions that use each document's history to estimate a current term score. To evaluate this thesis, we conduct 3 independent experiments using a collection of documents sampled from Wikipedia. In the first experiment, we use data from Wikipedia to judge each set of terms. In a second experiment, we use an external collection of tags from a popular social bookmarking service as a gold standard. In the third experiment, we crowdsource user judgments to collect feedback on term preference. Across all experiments results consistently support our [...]
URI: http://repositorio.inesctec.pt/handle/123456789/2237
http://dx.doi.org/10.1002/asi.21597
metadata.dc.type: article
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Appears in Collections:CSIG - Articles in International Journals

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