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A Survey on Existing Food Recommendation Systems


Author(s):

Ms. Pranoti D Patil , NBN Sinhgad School of Engineering Ambegaon (bk) 411041 ; Mr. Parag S Kulkarni, NBN Sinhgad School of Engineering Ambegaon (bk) 411041 ; Ms. Neha P Patil, NBN Sinhgad School of Engineering Ambegaon (bk) 411041 ; Ms. Pallavi Y Geete, NBN Sinhgad School of Engineering Ambegaon (bk) 411041 ; Ms. Anuja V Nikat, NBN Sinhgad School of Engineering Ambegaon (bk) 411041

Keywords:

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

Abstract:

Applications based on android system appeared in all aspects of human life. At present application of android about hotel management have emerged, but there are still many shortcomings. Selecting an good and appropriate hotel consisting best food for any event is a common problem for most of the people. Existing applications are recommending on the basis of frequently purchased patterns and user ratings. We are proposing an intelligent android application which will help customers to search nearby hotels, rate dishes, view recommendations of dishes on the basis of their age, gender and profession. In this application, we are using data mining techniques and android platform. The system has very strong practical value and significance.


Other Details:

Manuscript Id :IJSTEV3I7058
Published in :Volume : 3, Issue : 7
Publication Date: 01/02/2017
Page(s): 117-119
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