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cs.IR2021
Rating and aspect-based opinion graph embeddings for explainable recommendations
Iván Cantador, Andrés Carvallo, Fernando Diez
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. In partic…
cs.IR2021
Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations
Iván Cantador, Andrés Carvallo, Fernando Diez +1
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. In partic…