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Hybrid-Recommendation-System-for-Yelp

In this work a high level data analysis has been done for providing the hotel recommendations using the Yelp dataset. Hybrid Recommendation system has been designed to provide recommendations to the user query based on the user data.

The important goals of the project

  • Developing a content-based recommendation system
  • Developing a collobrative-based recommendation system
  • Developing a Social-Network based recommendation system
  • Designing of Hybrid system by combining the content, collobrative, social network based system.

Technologies Used:

  • Apache Spark
  • MongoDB
  • AWS - EC2,EMR
  • JAVA