An Anatomy of Faceted Search on World Wide Web

Authors

  • Yogesh Dept. of Computer Engineering. J.C. Bose University of Science and Technology, YMCA, Faridabad, Haryana. India
  • Shalu Dept. of Computer Engineering. J.C. Bose University of Science and Technology, YMCA, Faridabad, Haryana. India
  • Bhatia KK Dept. of Computer Engineering. J.C. Bose University of Science and Technology, YMCA, Faridabad, Haryana. India
  • Duhan N Dept. of Computer Engineering. J.C. Bose University of Science and Technology, YMCA, Faridabad, Haryana. India

DOI:

https://doi.org/10.26438/ijcse/v7i11.114120

Keywords:

Faceted Search, Semantic link, Data Mining, Probabilistic Model, Spatial Database, Navigation System, Information Retrieval

Abstract

With rapid development of online web shops and E-commerce data, it is evident that users get convenience in different fields such as lexical similarity, Vocabulary mismatch, information retrieval etc. Faceted search is becoming a popular method to allow the user to interactively search in online web shops and product comparison sites. Trying to figure out retrieval of information using facet search to reduce the number of search results quickly to improve the search results. There are many attributes, for example, filter, facet value, facet and facet count, which can also be used for information retrieval towards the user search query. Over the years, all kinds of improve search results techniques have tried to simplify this task such as WebPT, NextGen and Kareo. This paper gives a detailed survey of some recent algorithms of faceted search, the attributes handled by them and the methods used by them.

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Published

2019-11-30
CITATION
DOI: 10.26438/ijcse/v7i11.114120
Published: 2019-11-30

How to Cite

[1]
Yogesh, Shalu, K. K. Bhatia, and N. Duhan, “An Anatomy of Faceted Search on World Wide Web”, Int. J. Comp. Sci. Eng., vol. 7, no. 11, pp. 114–120, Nov. 2019.

Issue

Vol. 7 No. 11 (2019): IJCSE November Edition

Section

Research Article

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