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product-recommender-system

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huzaifakhan04 / amazon-product-recommendation-system-web-application-using-mongodb-pyspark-and-apache-kafka

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This repository includes a web application that is connected to a product recommendation system developed with the comprehensive Amazon Review Data (2018) dataset, consisting of nearly 233.1 million records and occupying approximately 128 gigabytes (GB) of data storage, using MongoDB, PySpark, and Apache Kafka.

machine-learning mongodb nosql amazon web-application pyspark statistical-inference flask-application supervised-learning als apache-kafka inferential-statistics product-reviews spark-mllib customer-reviews alternating-least-squares amazon-reviews product-recommendations product-recommender-system
  • Updated Jun 26, 2023
  • Jupyter Notebook

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