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Using Stream Features for Instant Document Filtering

Bauer, Andreas and Wolff, Christian (2012) Using Stream Features for Instant Document Filtering. In: The Twenty-First Text REtrieval Conference (TREC 2012). NIST Special Publication: SP 500-298, 6.-9.11.2012, Gaithersburg, MD.

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Date of publication of this fulltext: 03 May 2013 05:18

Other URL: http://trec.nist.gov/pubs/trec21/papers/unir_de.microblog.final2.pdf


Abstract

In this paper, we discuss how event processing technologies can be employed for real-time text stream processing and information filtering in the context of the TREC 2012 microblog task. After introducing basic characteristics of stream and event processing, the technical architecture of our text stream analysis engine is presented. Employing well-known term weighting schemes from ...

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Item type:Conference or workshop item (Paper)
Date:November 2012
Institutions:Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Medieninformatik
Classification:
NotationType
H.2.4CCS
H.2.8CCS
H.3.3CCS
Keywords:information retrievalinformation filtering event processing web2.0 text streams real-time search tf/idf okapi stream features
Dewey Decimal Classification:000 Computer science, information & general works > 004 Computer science
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:28090
Owner only: item control page

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