Review on Query Auto-Completion

Vidya S. Dandagi, Nandini Sidnal

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

The foremost step of every search engine is query auto-completion. It is an interactive feature. It is the process of computing and suggesting a set of words or phrases for every keystroke in real time based upon the popularity of the user's past queries to frame a query swiftly. Popularity is the factor and suggestions vary by region, geographical location and language. The need of query auto-completion is to formulate the query and for improving the search quality.The features of (query auto-completion) QAC are as follows: • Helps in finding the precise words to be used, • Lessens the typographic errors, • Helps in faster interaction, • Predicts user's intended query and improves search quality, • Helps to meet target queries quickly and brings down ambiguity, and • Aims to enlist the retrieved documents before completing a query.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Computational Techniques, Electronics and Mechanical Systems, CTEMS 2018
EditorsS. K. Niranjan, Veena Desai, Vijay S. Rajpurohit, M N Nadkatti
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages119-123
Number of pages5
ISBN (Electronic)9781538677094
DOIs
Publication statusPublished - Dec 2018
Externally publishedYes
Event1st International Conference on Computational Techniques, Electronics and Mechanical Systems, CTEMS 2018 - Belagavi, India
Duration: 21 Dec 201823 Dec 2018

Publication series

NameProceedings of the International Conference on Computational Techniques, Electronics and Mechanical Systems, CTEMS 2018

Conference

Conference1st International Conference on Computational Techniques, Electronics and Mechanical Systems, CTEMS 2018
Country/TerritoryIndia
CityBelagavi
Period21/12/1823/12/18

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