product-recommender-system

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

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
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agusabdulrahman / Customer-Segmentation-and-Product-Recommender-System

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Customer Segmentation Analysis and Product Recommender System

recommender-system customer-segmentation product-recommender-system

Updated Jan 22, 2023
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Fatmabirel / Product-Recommendation-System

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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.

php product recommendation-system recommender-system curl-library product-recommender-system