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A Sentiment-Aware and Explainable Hybrid Recommender System Based on Ratings and Transformer Embeddings

Abstract The rapid growth of digital platforms has amplified the demand for intelligent and personalized recommender systems. Traditional collaborative and content-based methods often suffer from cold-start, sparsity, and limited contextual modelling, while transformer-based solutions, though powerf...

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Váldodahkkit: Mohd. Danish, Syed Immamul Ansarullah, Shafat Khan, Sami Alshmrany
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: Springer 2026-04-01
Ráidu:International Journal of Computational Intelligence Systems
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Liŋkkat:https://doi.org/10.1007/s44196-026-01305-z
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