Customer Segmentation Analysis and Product Recommender System
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Updated
Jan 22, 2023 - Jupyter Notebook
Customer Segmentation Analysis and Product Recommender System
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.
Full Stack Web Application for Content Based Product Recommender System
A simple Product Recommendation System.
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