Restaurant recommendation system for healthier lifestyle
Date of Publication
2012
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Computer Science
Subject Categories
Computer Sciences
College
College of Computer Studies
Department/Unit
Computer Science
Thesis Adviser
Nathalie Lim-Cheng
Defense Panel Member
Gian Fontanilla
Kelvin Chua
Abstract/Summary
People nowadays do not control what they eat in restaurants. One of the reasons could be that they do not know the sources to inform them what they should and should eat, and thus they are unable to manage their weight during these times. This research focuses on providing recommendations in natural language, indicating what the user should eat by recommending dishes from restaurants based on their physical attributes. The system helps the user manage their weight if they need to lose, gain or maintain weight by motivating and encouraging them to follow the recommendation using natural language generation. Users found the system to be fairly motivational, indicating that there should be more data regarding nutritional information of the dish and the number of dishes itself.
Abstract Format
html
Language
English
Format
Accession Number
TU18553
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
1v. various foliations : illustrations (some colored) ; 28 cm.
Keywords
Restaurants--Philippines--Guidebooks
Recommended Citation
Garcia, S. G., Lu, M. C., & Rotor, R. R. (2012). Restaurant recommendation system for healthier lifestyle. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/11248
