IMPROVED FUZZY SEARCHING TECHNOLOGY

Authors

  • Ahmed SA M. Tech, Dept. of Computer Sci. and Engg., Central India Institute of Technology, Indore, MP, India
  • Singh M HOD and Asst. Professor, Dept. of Computer Sci. and Engg, Central India Institute of Technology, Indore, MP, India

Keywords:

fuzzy search, proximity ranking, edit distance, dictionary, inverted index, trie index

Abstract

In web based applications information retrieval is gaining more popular. There are many advances of searching such as instant fuzzy search. Even if there are few typing errors in words the system will retrieve relevant data. Fuzzy search retrieves relevant data containing words which are similar to keywords. A main computational challenge in this paradigm is the high speed requirement, i.e., each query needs to be answered within milliseconds to achieve an instant response. Fuzzy search is implemented using Edit‟s Distance method.

References

.InciCetindil, J. Esmaelnezhad, T. Kim and Chen Li “Efficient Instant-Fuzzy Search with Proximity Ranking,,” IEEE 30 International conference on data engineering year 2014.

.M. Persin, J. Zobel, and R. Sacks-Davis, “Filtered document retrieval with frequency-sorted indexes,” JASIS, vol. 47, no. 10, pp. 749–764, 1996

.A. Singhal. “Modern information retrieval: A brief overview.” Bulletin of the IEEE Computer Society Technical Committee on Data Engineering.

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Published

2024-02-26

How to Cite

Ahmed, S. A., & Singh, M. (2024). IMPROVED FUZZY SEARCHING TECHNOLOGY. COMPUSOFT: An International Journal of Advanced Computer Technology, 4(07), 1928–1930. Retrieved from https://ijact.in/index.php/j/article/view/339

Issue

Section

Original Research Article

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