Pol Pastells

Assessing Sentiment Semantics in KG-Based Explainable Recommender Systems

Sentiment information can enhance path-based explainable recommendation, yet advances are hindered by the lack of public benchmarks for sentiment-aware knowledge graph (SAKG) reasoning. We address this gap by systematically evaluating how different sentiment representation strategies and reward mechanisms affect utilit...