APPLICATION OF DATA MINING TECHNIQUES TO FIND RELATIONSHIPS BETWEEN THE DISHES OFFERED BY A RESTAURANT FOR THE ELABORATION OF COMBOS BASED ON THE PREFERENCES OF THE DINERS
Journal Title: Applied Computer Science - Year 2019, Vol 15, Issue 2
Abstract
Currently, blended food has been a common menu item in fast food restau-rants. The sales of the fast-food industry grow thanks to several sales strate-gies, including the “combos”, so, specialty, regional, family and buffet restaurants are even joining combos’ promotions. This research paper presents the implementation of a system that will serve as support to elab-orate combos according to the preferences of the diners using data mining techniques to find relationships between the different dishes that are offered in a restaurant. The software resulting from this research is being used by the mobile application Food Express, with which it communicates through webservices.
Authors and Affiliations
Rosa Maria VAZQUEZ, Edmundo BONILLA, Eduardo SANCHEZ, Oscar ATRIANO, Cinthya BERRUECOS
Keywords
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- EP ID EP639057
- DOI 10.23743/acs-2019-15
- Views 54
- Downloads 0
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