This paper is published in Volume-5, Issue-2, 2019
Area
Data Analysis
Author
Suruthi P.
Co-authors
Varsa Sukirthana S., Raguvaran S.
Org/Univ
KPR Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India
Pub. Date
05 March, 2019
Paper ID
V5I2-1152
Publisher
Keywords
Analysis, ANN Algorithm, Datasets, Neural Networks

Citationsacebook

IEEE
Suruthi P., Varsa Sukirthana S., Raguvaran S.. Recommendation of food tourism using Artificial Neural Network – A survey, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Suruthi P., Varsa Sukirthana S., Raguvaran S. (2019). Recommendation of food tourism using Artificial Neural Network – A survey. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.

MLA
Suruthi P., Varsa Sukirthana S., Raguvaran S.. "Recommendation of food tourism using Artificial Neural Network – A survey." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.

Abstract

According to “Global Report on Food Tourism” of the World Tourism Organization (UNWTO), food tourism is commented as a fast-growing segment of the tourism industry. Food tourism means traveling to seek enjoyment via eating and drinking experiences at the destination. movies. Such a system can suggest a set of recipes to users based on their interest, or the popularities of the dishes. For tourism services like"TripAdvisor" , the most successful online forum in the travel and tourism industry which recommends the food items based on the search history. Here, we using the ANN algorithm to predict that which algorithm is better to analyses the datasets of food recipes. Finally, it can make some recommendations for the tourist with better-personalized traveling experience and food services.
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