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Food Recommendation System Based on Data Mining and Android


Author(s):

Pranoti D Patil , NBN Sinhgad School of Engineering, Pune; Neha P Patil, NBN Sinhgad School of Engineering, Pune; Pallavi Y Geete, NBN Sinhgad School of Engineering, Pune; Anuja V Nikat, NBN Sinhgad School of Engineering, Pune; Parag S Kulkarni, NBN Sinhgad School of Engineering, Pune

Keywords:

Android, Artificial Neural Network, Back-Propagation Network, Data Mining, Feed-Forward Network

Abstract:

Now a day’s number of people using mobile applications for food and hotel searching are constantly increasing, but to recommend right hotel or dish for each user according to his/her personal interest is difficult task. In this paper an intelligent recommendation system is proposed for more personalized experience. This Application considers customer’s interest along with previous ratings for that particular hotel and food item. User recommendations are based on their Age, Gender and Profession. Our system consist three modules viz. Admin, Client and Owner .Admin part provides registration interface to new users. Client provides recommendation interface to customers. Owner module manages the information regarding hotels and menu items. Our proposed system successfully gives the recommendations to achieve user’s personal goals. It helps user for decision making of hotel and food.


Other Details:

Manuscript Id :IJSTEV3I12014
Published in :Volume : 3, Issue : 12
Publication Date: 01/07/2017
Page(s): 15-19
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