Avi T. Arampatzis, Th.P. van der Weide, C.H.A. Koster, P. van Bommel  Home/Search
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Abstract: In this article we investigate the use of time distributions in retrieval tasks. Specifically, we introduce a novel term selection method, namely Term Occurrence Uniformity (TOU), based on the hypothesis that terms which occur uniformly in time are more valuable than others. Our empirical evaluation so far has neither proved nor disproved this hypothesis. However, results are promising and suggest the need for a deeper theoretical and empirical investigation. Our current concern is filtering,... (Update)
Context of citations to this paper: More
.... stoplisting, although our long term intention is to use phrase representations [2] and apply more sophisticated term selection methods [3]. Table 1 summarizes our ocial TREC 9 runs. Next, we will brie y describe the pre processing applied to the data. The FilterIt and lcs...
.... in [2] and the adaptivity issues discussed in [3] We additionally refresh and revise the most important parts of the work described in [4] and [5] In the following Sections, document ltering systems are addressed by: classifying user interests with respect to how the...
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BibTeX entry: (Update)
A. Arampatzis, T. P. van der Weide, C. H. A. Koster, and P. van Bommel. Term Selection for Filtering based on Distribution of Terms over Time. In Proceedings of RIAO'2000 Content-Based Multimedia Information Access, pages 1221-1237, College de France, Paris, France, April 12-14 2000. Available from http://www.cs.kun.nl/avgerino. http://citeseer.ist.psu.edu/arampatzis00term.html More
@misc{ arampatzis00term,
author = "A. Arampatzis and T. van der Weide and C. Koster and P. van Bommel",
title = "Term Selection for Filtering based on Distribution of Terms over Time",
text = "A. Arampatzis, T. P. van der Weide, C. H. A. Koster, and P. van Bommel.
Term Selection for Filtering based on Distribution of Terms over Time. In
Proceedings of RIAO'2000 Content-Based Multimedia Information Access, pages
1221-1237, College de France, Paris, France, April 12-14 2000. Available
from http://www.cs.kun.nl/avgerino.",
year = "2000",
url = "citeseer.ist.psu.edu/arampatzis00term.html" }
Citations (may not include all citations):307 Information Retrieval - van Rijsbergen - 1990
288 Relevance Feedback in Information Retrieval (context) - Rocchio - 1971
257 WORDNET: A Lexical Database for English (context) - Miller - 1995
215 A Comparative Study on Feature Selection in Text Categorizat.. - Yang, Pederson - 1997
185 Numerical Recipes in C: The Art of Scientific Computing (context) - Press, Teukolsky et al. - 1992
174 Information Filtering and Information Retrieval: Two Sides o.. (context) - Belkin, Croft - 1992
116 Topic Detection and Tracking Pilot Study --- Final Report - Allan, Carbonell et al. - 1998
115 Uniform Distribution of Sequences (context) - Kuipers, Niederreiter - 1974
79 Some advances in rule-based part of speech tagging (context) - Brill - 1994
45 Incremental Relevance Feedback for Information Filtering - Allan - 1996
39 A Vector Space Model for Information Retrieval (context) - Salton - 1975
29 The TREC-7 Filtering Track: Description and Analysis - Hull - 1998
29 Feature Selection and Feature Extraction for Text Categoriza.. - Lewis - 1992
27 Text Categorization of Low Quality Images (context) - Ittner, Lewis et al. - 1995
8 An Evaluation of Linguistically-motivated Indexing Schemes - Arampatzis, van der Weide et al. - 2000
3 Measuring Concept Change (context) - Brodley, Rissland - 1993
2 Feature Reduction for Information Retrieval - Ruger - 1998
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