luhlitt/Skincare-Recommendation
A Natural Language Processing Approach to a Skincare Recommendation Engine
This project helps e-commerce businesses provide personalized skincare product recommendations to their customers. By analyzing vast amounts of online product reviews, it identifies user preferences and predicts which products they are most likely to purchase. The system takes raw user review text and skincare product information as input, and outputs tailored product suggestions for individual shoppers.
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Use this if you want to offer more precise, text-review-driven skincare product recommendations to customers on your e-commerce platform.
Not ideal if your recommendation needs are not specific to skincare or if you lack a substantial dataset of user-written product reviews.
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Last pushed
Nov 27, 2020
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