Precision Improvement in Information Storage and Retrieval System by Document Length Normalization

Authors

  • D. Sharma Department of Computer Science and Engineering, Mewar University, Chittorgarh, India
  • H. Nagar Nagar Department of Computer Science and Engineering, Mewar University, Chittorgarh, India

Keywords:

Document length, Normalization, Rank, Storage system, Precision, Information Storage, Retrieval System, Normalization

Abstract

Huge amount of information are available over the internet in electronic document format but retrieving the correct document according to users information need is very critical task. The relevancy of the document can vary according to the length of document. Automatic information storage and retrieval system have to deal with documents of varying length in text collection. In this paper we are presenting a document term weighting scheme based on length of document. Our method increases the rank of relevant document in the retrieved ordered document set. From the result we have seen that our method increase the document rank from 0.83 precision to 0.16 precision.

 

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Published

2016-02-28

How to Cite

[1]
D. Sharma and H. N. Nagar, “Precision Improvement in Information Storage and Retrieval System by Document Length Normalization”, Int. J. Sci. Res. Comp. Sci. Eng., vol. 4, no. 1, pp. 1–5, Feb. 2016.

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Section

Review Article

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