YummyKarachi: using real-time tweets for restaurant recommendations in an unsafe location
Faculty / School
Faculty of Computer Sciences (FCS)
Department
Department of Computer Science
Was this content written or created while at IBA?
Yes
Document Type
Conference Paper
Publication Date
2014
Conference Name
22nd Conference on User Modeling, Adaptation, and Personalization (UMAP2014)
Conference Location
Aalborg, Denmark
Conference Dates
7-11 July 2014
ISBN/ISSN
84925243657 (Scopus)
Volume
1181
Issue
1613-0073
First Page
49
Last Page
52
Publisher
CEUR Workshop Proceedings
Abstract / Description
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.
Citation/Publisher Attribution
Qureshi123, M. A., Younus123, A., Yousuf34, M., Moiz34, A., Saeed34, M., Touheed, N., ... & Pasi, G. (2014). YummyKarachi: Using Real-Time Tweets for Restaurant Recommendations in an Unsafe Location.
Recommended Citation
Qureshi, M. A., Younus, A., Yousuf, M., Moiz, A., Saeed, M., Touheed, N., O'Riordan, C., & Pasi, G. (2014). YummyKarachi: using real-time tweets for restaurant recommendations in an unsafe location., 1181 (1613-0073), 49-52. Retrieved from https://ir.iba.edu.pk/faculty-research-series/30
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