Geolocation Based Recommender System

EasyChair Preprint 5728

Abstract

Recommendation System" is a recommendaton software which is based on the concept of machine learning. The system recommends users by reading the current location of the user, interacting with the database, and provides results based on the calculations. The algorithm takes into account three different parameters to obtain the result. The algorithm used in the project uses Haversine formula to calculate the distance between user and other people in the vicinity. It is capable of recognizing various people and activities related to user's interests. The job profile and organization is also taken into account to obtain the final result. The software recommends people with similar interests with their location to the user.

Keyphrases: GEO-LOCATION RECOMMENDER, PHP, Python

@booklet{EasyChair:5728,
  author    = {Nikita Pandey and Satvik Tandon and Princi Jain},
  title     = {Geolocation Based Recommender System},
  howpublished = {EasyChair Preprint 5728},
  year      = {EasyChair, 2021}}