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Vacation Recommendation System using content based and Collaborative filtering techniques

Java 3.00% JavaScript 0.73% CSS 4.84% HTML 91.44%

travel-recommendation-system's Introduction

Travel Recommendation System

  • Designed and developed travel recommendation system using Apache Spark.
  • Used Supervised learning to build recommendation model using Collaborative Filtering ALS (Alternating Least Square).
  • Used Facebook checkin Data of a user to provide dynamic recommendation about travel with user's changing interest.
  • Technologies: Java, Apache Spark, Angular.js, Node.js, REST API

Project Screenshots:

Login Page:

Home Page:

Linking Facebook Profile to get access to user's location checkins:

Travel Recommendations (Without User Preference (Recommendation relevant to facebook checkins):

Travel Recommendations (With User Preference):

travel-recommendation-system's People

Contributors

jagrutipatil avatar aparna15kulkarni avatar tanvishukla avatar ketkigawande avatar

Watchers

James Cloos avatar  avatar

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