Qing-Long Li

Enhancing E‐Commerce Recommendations Through Review Summarization and Multi‐Embedding Feature Fusion

With the rapid growth of e‐commerce, recommender systems have become essential tools for alleviating information overload by providing users with personalized item suggestions that match their preferences. Traditional collaborative filtering approaches have shown strong performance, while they still suffer from data sp...