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E-commerce Recommendations with Sentiment Analysis by minhnvqk24406h is a document available to read on EtoBox.

What is E-commerce Recommendations with Sentiment Analysis about?

This research presents a novel e-commerce recommendation framework that combines sentiment analysis (SA) and collaborative filtering (CF) to enhance recommendation accuracy and user satisfaction. The proposed methodology utilizes a Multi-Layer Attention-based Encoder-Decoder Temporal Convolution Neural Network (MLA-EDTCNet) for sentiment classification, along with a Modified Conditional Generative Adversarial Network (MCGAN) to address class imbalance, and the Ocotillo Optimization Algorithm (OcOA) for mode

Author

minhnvqk24406h

Language

EN