Improving the Retrieval Performance by Using the Distance-Based Bigrams

Authors

  • Pakinee Aimmanee School of Information, Computer, and Communication Technology Sirindhorn International Institute of Technology Thammasat University
  • Thanaruk Theeramunkong School of Information, Computer, and Communication Technology Sirindhorn International Institute of Technology Thammasat University

DOI:

https://doi.org/10.37936/ecti-eec.201081.172043

Keywords:

Distance-Based Bigram, Vector Space Model, Information Retrieval

Abstract

In this paper, we discuss a new way to improve retrieval performance using a special type of bigrams called Distance-based Bigram (DB). DB is a word pair whose distance between the two components is greater than or equal to one. DB allows us to find documents that express a phrase or a sentence differently from a query. The results show that DB combined with unigram performs significantly better than the unigram and bigram when the first few correct documents are needed.

References

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Published

2009-08-01

How to Cite

Aimmanee, P., & Theeramunkong, T. (2009). Improving the Retrieval Performance by Using the Distance-Based Bigrams. ECTI Transactions on Electrical Engineering, Electronics, and Communications, 8(1), 106–112. https://doi.org/10.37936/ecti-eec.201081.172043

Issue

Vol. 8 No. 1 (2010): Special Session from ECTI-CON 2009

Section

Research Article

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