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.

Downloads

Download data is not yet available.

References

[1] Thomas K. Landauder, P.W.F., Laham, D.: Introduction to latent semantic analysis. Discourses Processes 25 (1998) 259–284

[2] Berry, M.W., Dumais, S.T., O’Brien, G.W.: Using linear algebra for intelligent information retrieval. SIAM Review 37 (1995) 573–595

[3] Pirkola, A., Keskustalo, H., Leppanen, E., Kansala, A.P., Jarvelin, K.: Targeted s-gram matching: a novel n-gram matching technique for crossand mono-lingual form variants. Information
Process Management 4 (2002) 231–255

[4] Burkhardt, S., Karkkainen, J.: Better filtering with a gapped q-grams. Fundamenta Informaticae 56(1/2) (2003) 51–70

[5] Ian H. Witten, Alistair Moffat, T.C.B.: Managing Gigabytes: Compressing and Indexing Documents and Images. Van Nostrand Reinhold (1994)

[6] Michael Berry, Zhang Drmac, E.R.J.: Matrices, vector spaces, and information retrieval. SIAM Review 41 (1999) 335–862

Downloads

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

License

This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.

- Creative Commons Copyright License

The journal allows readers to download and share all published articles as long as they properly cite such articles; however, they cannot change them or use them commercially. This is classified as CC BY-NC-ND for the creative commons license. 

- Retention of Copyright and Publishing Rights

The journal allows the authors of the published articles to hold copyrights and publishing rights without restrictions.