We can find the best restaurant and food store using mobile or web apps. It is also possible to rate and give score to food store on the basis of customer behaviors and available inspection data.
Using the existing food inspection data of city, comment and rate made by people, one can make web or mobile application. Using apps people can rate and make a comment to local restaurant and food store. Using text mining method, one can separate the text into interest , food choice , positive and negative sentiments which automatic increase or decrease quality score and send waring or reward notification to the food store. In addition, using mapping process, one can use this application to eat and buy best food. App also can display the historical data of corresponding geolocation.
We can use clustering methods to classify the existing data into different groups as well as one can use bayesian approach or kernel method to measure the quality of service and products.
IBM BLUEMIX USE
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