This project builds product recommendations from the text and sentiment of user reviews.
It creates two ranking paths: one compares products to items a user has reviewed, while the other identifies similar users and surfaces products they rated positively. Review text is converted into comparable features, sentiment provides an additional weighting signal, and nearest-neighbor search supplies the similarity layer.