Optimizing Airline Ticket Purchase Timing

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Manan Dedhia, Amit Jadhav, Rahul Jagdale, Prof. Bhakti Palkar

Abstract

Our approach in this paper is to suggest the user to either buy or wait for the purchase of airline tickets.Airline tickets prices are volatile and keep on varying depending on various parameters. Users, not having much information about these parameters, are often forced to buy tickets at high prices. This paper proposes a machine learning based prediction system which uses logistic regression to suggest users to buy the ticket, implying that prices are going to rise in coming days or wait for some time implying prices are going to plummet in coming days. This system also predicts the price of the date user wants to travel.

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How to Cite
, M. D. A. J. R. J. P. B. P. “Optimizing Airline Ticket Purchase Timing”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 6, no. 4, Apr. 2018, pp. 296-8, doi:10.17762/ijritcc.v6i4.1564.
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