Open AccessA Survey on Automatically Mining Facets for Web Queries
Author(s) -
Duhita V. Pawar,
Vina M. Lomte
Publication year - 2017
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v7i6.pp3700-3704
Subject(s) - computer science , web search query , web query classification , information retrieval , query expansion , query optimization , query language , phrase , rdf query language , world wide web , search engine , natural language processing
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.