Recommendation System for Dining
Journal Title: International Journal of engineering Research and Applications - Year 2018, Vol 8, Issue 5
Abstract
In the advent of a smartphone dependent world, applications have become an integral part of life. Existing apps are providing information which is missing a connection to get to the goal of having a good plan. Planning is one of the most time consuming activities and all existing applications focus on single services (be it a movie, or a dine-out etc.) while a complete plan requires a combination of such services. (What if we had to plan a movie AND a dine-out). Into the frame comes the Service Oriented Architecture that puts together all the needed services in a single place (application) from where users can very conveniently plan out an evening based on the recommendations provided. A weighted k-Nearest Neighbours(kNN) algorithm sorts out the recommendations based on filter parameters provided by the user (such as their location, budget etc.), while API services provided by the respective single service applications allow us to bring together multiple services on one platform to provide a complete planning experience.
Authors and Affiliations
Pramila M. Chawan, Kaushal Suvarna, Yash Goyal, Jay Thakker, Advait Bandiwadekar
Keywords
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