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Duhita Pawar
RMD Shingad School of Engineering, Pune, India
Computer Science & IT Electrical & Electronics Engineering

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A Survey on Automatically Mining Facets for Web Queries Duhita Pawar; Vina M. Lomte
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 6: December 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (184.309 KB) | DOI: 10.11591/ijece.v7i6.pp3700-3704

Abstract

In this paper, a detailed survey on different facet mining techniques, their advantages and disadvantages is carried out. Facets are any word or phrase which summarize an important aspect about the web query. Researchers proposed different efficient techniques which improves the user’s web query search experiences magnificently. Users are happy when they find the relevant information to their query in the top results. The objectives of their research are: (1) To present automated solution to derive the query facets by analyzing the text query; (2) To create taxonomy of query refinement strategies for efficient results; and (3) To personalize search according to user interest.
Co-Authors Vina M. Lomte