nhtsai/graph-rec
Senior Capstone Project: Graph-Based Product Recommendation
This project helps e-commerce managers and product strategists improve product recommendations on their platforms. By analyzing customer review data, product details, and image features, it generates personalized product suggestions. The output is a list of recommended products for each user, enhancing the shopping experience and potentially increasing sales.
No commits in the last 6 months.
Use this if you manage an online store and want to provide highly relevant product recommendations to your customers based on their past interactions and product attributes.
Not ideal if you're looking for a recommendation system that doesn't rely on graph neural networks or if you lack detailed user-product interaction data like reviews.
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Last pushed
Mar 15, 2021
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