Real-time web-based International Flight Tickets Recommendation System via Apache Spark

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dc.authorid0000-0001-6657-9738
dc.contributor.authorMalkawi, Malek
dc.contributor.authorAlhajj, Reda
dc.date.accessioned2023-09-29T12:23:23Z
dc.date.available2023-09-29T12:23:23Z
dc.date.issued2023
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description.abstractTraveling by airplane has become more popular with advanced technology. The tickets can be booked effortlessly via airlines corporation's online platforms. However, recommending the best airline ticket according to the buyer's demands is a challenging task owing to the unexpected fluctuations in the price depending on various reasons. Traditional recommender suggestions are optimized for predicting the price for a specific time or estimating the period of the lowest price. However, considering the sudden changes is an essential matter to increase the accuracy. In this work, we present a web-based real-time system to recommend the most suitable ticket regardless of the continuous changes in the prices. Apache Spark has been used to analyze the data obtained from the international airline web pages. Besides the ease of use of the system, it helps the customer to buy the flight ticket at the lowest price for the desired period and destination. Based on the proposed model, using Python programming language, Flask web server, and Apache Spark, we design and implement the international ticket recommendation system with the MVC design pattern.
dc.description.sponsorshipIEEE TCMC ; Society for Information Reuse and Integration (SIRI)en_US
dc.identifier.citationMalkawi, M. ve Alhajj, R. (2023). Real-time web-based International Flight Tickets Recommendation System via Apache Spark. IEEE 24th International Conference on Information Reuse and Integration for Data Science (IRI) içinde (279-282. ss.). Bellevue, 4-6 August 2023. https://doi.org/10.1109/IRI58017.2023.00055
dc.identifier.doi10.1109/IRI58017.2023.00055
dc.identifier.endpage282
dc.identifier.isbn9798350334586
dc.identifier.scopus2-s2.0-85171861860
dc.identifier.scopusqualityN/A
dc.identifier.startpage279
dc.identifier.urihttps://doi.org/10.1109/IRI58017.2023.00055
dc.identifier.urihttps://hdl.handle.net/20.500.12511/11509
dc.identifier.wos001063198500048en_US
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorMalkawi, Malek
dc.institutionauthorAlhajj, Reda
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofIEEE 24th International Conference on Information Reuse and Integration for Data Science (IRI)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAirfare Price
dc.subjectApache Spark
dc.subjectInternational Airline Ticket
dc.subjectReal-Time Recommendation
dc.subjectWeb-Based System
dc.titleReal-time web-based International Flight Tickets Recommendation System via Apache Spark
dc.typeConference Object

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