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YummyKarachi: Using real-time tweets for restaurant recommendations in an unsafe location

  • M. Atif Qureshi
  • , Arjumand Younus
  • , Muhammad Yousuf
  • , Abdul Moiz
  • , Muhammad Saeed
  • , Nasir Touheed
  • , Colm O'Riordan
  • , Gabriella Pasi

Research output: Contribution to journalConference articlepeer-review

Abstract

In this paper the YummyKarachi system is presented; it is a combined restaurant and safe routes recommender system for an unsafe city such as Karachi. YummyKarachi utilizes a hybrid model combining service recommendations with route recommendations in a map-based user interface. It utilizes tweets arriving in real-time to search for danger zones within the city, and it generates restaurant recommendations while taking into account security conditions of the city.

Original languageEnglish
Pages (from-to)49-52
Number of pages4
JournalCEUR Workshop Proceedings
Volume1181
Publication statusPublished - 2014
Externally publishedYes
EventWorkshop of the 22nd Conference on User Modeling, Adaptation, and Personalization, UMAP 2014 - Co-located with the 22nd Conference on User Modeling, Adaptation, and Personalization, UMAP 2014 - Aalborg, Denmark
Duration: 7 Jul 201411 Jul 2014

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