Wisp: A preference based location finder application

Abstract

The work of finding the best places according to user’s preferences can be a tedious task. We designed, created and tested software which can take the preferences from the user and provide the best places according to their preferences from the location with a certain radius in real time. This eliminates the extra task of researching about a place and helps the user to visualise the places according to the preferences in real time. This uses foursquare API to fetch the data for the locations. We have built a console application for this purpose and this can be transferred to web based system in future. The internet connection is a must during using of this application. The Map that is formed is visualised in a browser and can be saved for future use. We have provided certain features in the application that will improve the user’s experience.

How to cluster nearest unique nodes from different classes using JJCluster in Wisp application?

“…The approach may not be perfect always, and will take a lot of time. Here the main aim of designing Wisp [20] [19] application is to visualise the place according to user preferences in real time, without any botheration of researching manually. We introduced here an algorithm for finding the cluster (the boundary location), named as JJCluster (which stands for Jimut-Jisnoo Cluster).…”