Food viral recommendation mobile application using geolocation with auto recommendation places (EatNow!) / Nur Ain Zubari … [et al.]

Zubari, Nur Ain and Arshad, Mohamad Asrol and Md Rashid, Nor Aimuni and Buja, Alya Geogiana and Lemuel Kushan, Albin (2021) Food viral recommendation mobile application using geolocation with auto recommendation places (EatNow!) / Nur Ain Zubari … [et al.]. In: International Jasin Multimedia and Computer Science Invention and Innovation Exhibition (i-JaMCSIIX 2021). Faculty of Computer and Mathematical Sciences, Jasin, p. 3.

Abstract

Along the 21st Century, mobile applications become more rampant among the people. Nowadays, they keep depending on mobile apps to perform daily life. It includes when tourist unfamiliar to choose popular food in a particular area. EatNow! Mobile application will help ease the user find popular food based on user preferences. EatNow! Application is a viral food recommendation using geolocation with auto-recommendation places. With the implementation of geolocation, the application can suggest places based on the user 6s current location. The recommendation based on the 3 APIs, the Foursquare API, Google Places API, and OpenWeather API. EatNow! Apps recommend the places based on user preferences by using a rule-based system and user’s current location. The application’s effectiveness has evaluated by conducted functionality, usability, and accuracy testing. Findings show that EatNow! Application can help user find restaurants based on their preferences and the nearest user’s current location. In conclusion, EatNow! is useful for any users to find nearby food areas and save the time consumption to find food viral.

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Zubari, Nur Ain
ainzubari@gmail.com
Arshad, Mohamad Asrol
UNSPECIFIED
Md Rashid, Nor Aimuni
UNSPECIFIED
Buja, Alya Geogiana
UNSPECIFIED
Lemuel Kushan, Albin
UNSPECIFIED
Subjects: H Social Sciences > HM Sociology > Groups and organizations > Social groups. Group dynamics > Social networks
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Programming. Rule-based programming. Backtrack programming
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Computer software > Application program interfaces
Divisions: Universiti Teknologi MARA, Melaka > Jasin Campus > Faculty of Computer and Mathematical Sciences
Volume: 4
Page Range: p. 3
Keywords: Food viral; Rule-based; User preference; Recommendation
Date: 2021
URI: https://ir.uitm.edu.my/id/eprint/49321
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49321

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