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Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations
Furthermore, we also provide examples of the applicability of recommendations utilizing aspect opinions as explanations in a visualization dashboard, which allows obtaining information about the most and least liked aspects of similar users obtained from the embeddings of an input graph.
Rating and aspect-based opinion graph embeddings for explainable recommendations
The success of neural network embeddings has entailed a renewed interest in using knowledge graphs for a wide variety of machine learning and information retrieval tasks.
Analysing the Effect of Recommendation Algorithms on the Amplification of Misinformation
Recommendation algorithms have been pointed out as one of the major culprits of misinformation spreading in the digital sphere.
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