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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Hlavní autoři:	Mohd. Danish, Syed Immamul Ansarullah, Shafat Khan, Sami Alshmrany
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Springer 2026-04-01
Edice:	International Journal of Computational Intelligence Systems
Témata:	Recommender Systems SBERT Aspect-Based Sentiment Analysis Hybrid Models BERT4Rec Explainable AI
On-line přístup:	https://doi.org/10.1007/s44196-026-01305-z
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