2009 OnBurstinessAwareSearchforDocum

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Subject Headings: bursty Event.

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Cited By

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Author Keywords

Document Sequences, Search, Burstiness

Abstract

As the number and size of large timestamped collections (e.g. sequences of digitized newspapers, periodicals, blogs) increase, the problem of efficiently indexing and searching such data becomes more important. Term burstiness has been extensively researched as a mechanism to address event detection in the context of such collections. In this paper, we explore how burstiness information can be further utilized to enhance the search process. We present a novel approach to model the burstiness of a term, using discrepancy theory concepts. This allows us to build a parameter-free, linear-time approach to identify the time intervals of maximum burstiness for a given term. Finally, we describe the first burstiness-driven search framework and thoroughly evaluate our approach in the context of different scenarios.

References

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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2009 OnBurstinessAwareSearchforDocumDimitrios Gunopulos
Theodoros Lappas
Benjamin Arai
Manolis Platakis
Dimitrios Kotsakos
On Burstiness-aware Search for Document SequencesKDD-2009 Proceedings10.1145/1557019.15570752009