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.
A simple Product Recommendation System.
Bu projenin amacı, kullanıcılar için en ucuz ürüne, en düşük birim fiyatlı ürüne ve trend olan ürün bilgilerine daha hızlı ve basit bir erişim sağlamaktır.
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