Analysis and Recommendation of Hotel Menu System |
Author(s): |
| Anushree Ghare , Marathwada Mitra Mandal's College of Engineering; Shraddha Thorat, Marathwada Mitra Mandal's College of Engineering; Anuja Deshpande, Marathwada Mitra Mandal's College of Engineering; Rahul Ekbote, Marathwada Mitra Mandal's College of Engineering |
Keywords: |
| Analysis, Apriori, Classification, Clustering, Data Mining, Hotel Menu, K-means, Recommendation, Trends |
Abstract |
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In this research, we are creating an android tablet based interactive hotel menu system. We are integrating data mining algorithms in the system to extract all the orders' data, and subsequently observe trends in the orders. We use these analytics to help improve the menu with recommendations and combo-offers. Also, we are using clustering analysis to make customer groups, so as to reach out to them in a more personalized way with customer loyalty offers and extra discounts. Additionally, we are creating a dynamic JSP website on which the customers can view all the items remotely, and call for a home delivery. All these things will essentially help the hotel business gain even more happy customers and henceforth, more profits. |
Other Details |
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Paper ID: IJSRDV3I1271 Published in: Volume : 3, Issue : 1 Publication Date: 01/04/2015 Page(s): 543-545 |
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