Explainable Recommendation via Personalized Features on Dynamic Preference Interactions
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3219076
Abstract: An Explainable Recommendation system has become more prominent because it could convince the user to trust the prediction. However, the existing Explainable Recommendation systems face one of these two limitations. The first limitation is the… read more here.
Keywords: interaction; recommendation; feature set; explainable recommendation ... See more keywords
Knowledge Enhanced Graph Neural Networks for Explainable Recommendation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2022.3142260
Abstract: Recently, explainable recommendation has attracted increasing attentions, which can make the recommender system more transparent and improve user satisfactions by recommending products with useful explanations. However, existing methods trend to trade-off between the recommendation accuracy… read more here.
Keywords: neural networks; recommendation; explainable recommendation; knowledge enhanced ... See more keywords
Joint Reason Generation and Rating Prediction for Explainable Recommendation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2022.3146178
Abstract: Most recommendation systems focus on predicting rating or finding aspect information in reviews to understand user preferences and item properties. However, these methods ignore the effectiveness and persuasiveness of recommendation results. Consequently, explainable recommendation, namely… read more here.
Keywords: recommendation; explainable recommendation; reason generation; generation rating ... See more keywords
Time-Aware Explainable Recommendation via Updating Enabled Online Prediction
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DOI: 10.3390/e24111639
Abstract: There has been growing attention on explainable recommendation that is able to provide high-quality results as well as intuitive explanations. However, most existing studies use offline prediction strategies where recommender systems are trained once while… read more here.
Keywords: online prediction; time; recommendation; explainable recommendation ... See more keywords