LaxmiChaudhary/Amzon-Product-Recommendation
Building Recommendation Model for the electronics products of Amazon
Implements item-to-item collaborative filtering on Amazon's Electronics dataset to generate personalized product recommendations by matching user-rated items to similar products. The approach analyzes purchase and rating patterns across the dataset to build similarity matrices, then aggregates comparable items into ranked recommendation lists. Built on publicly available Amazon review data, enabling scalable real-time suggestion capabilities similar to production e-commerce systems.
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Oct 25, 2019
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