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Deep Learning for Retail Recommendations by tcs.entrylevelion is a document available to read on EtoBox.

The project report details the development of an AI-powered recommender system utilizing deep learning techniques for retail transactions. It emphasizes the importance of an end-to-end data pipeline, integrating various algorithms like Feedforward Neural Networks and Neural Collaborative Filtering to enhance recommendation accuracy. The proposed system demonstrates superior performance, particularly with the NeuralCF model, achieving a 92% accuracy rate, thereby showcasing its potential for real-world appli

Author

tcs.entrylevelion

Language

EN