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Review Open access Aug 2026

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...

Haebin Lim, Seonu Park, Qing-Long Li et al. · 0 citations
Aug 2026

AI-powered hotel performance prediction: a multimodal data approach

Hotel-generated social media content functions as key market-facing signals for prospective consumers seeking information to support decision-making, while property-level information serves as structural signals. Despite their growing relevance, limited research has examined the roles of these signals in forecastin...

Ningqiao Li, Minwoo Lee, A. DeFranco et al. · 0 citations

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