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

Malkawi M. J. A., ALHAJJ R.

24th IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2023, Washington, Amerika Birleşik Devletleri, 4 - 06 Ağustos 2023, ss.279-282 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/iri58017.2023.00055
  • Basıldığı Şehir: Washington
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.279-282
  • Anahtar Kelimeler: airfare price, Apache Spark, international airline ticket, real-time recommendation, web-based system
  • İstanbul Medipol Üniversitesi Adresli: Evet

Özet

Traveling 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.