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Location-based-Restaurants-Recommendation-System

CS6350 Big Data Management and Analytics Final Project

Designed and implemented location based static and dynamic recommendation system for restaurants based on user input such as state, city, type of food.
Technologies & languages used:
  • Apache Spark
  • Scala
  • Python
  • Kafka
  • Kibana
  • Elastic search

    • (1) Static Recommendation System
    -- Implemented collaborative filtering to recommend restaurants
    -- Technologies used => Apache Spark, Scala

    (2) Dynamic Recommendation System
    -- Used Kafka server for streaming the data, Apache Spark for recommendation and visualization using Kibana
    Authors:
  • Ankita Patil
  • Lopamudra Muduli
  • Shruti Harihar
  • Bhakti Khatri
  • Nikhil Kumar Chandra