Search Results for author: Fernando Diez

Found 2 papers, 0 papers with code

Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations

no code implementations7 Jul 2021 Iván Cantador, Andrés Carvallo, Fernando Diez, Denis Parra

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.

Graph Embedding Information Retrieval +2

Rating and aspect-based opinion graph embeddings for explainable recommendations

no code implementations7 Jul 2021 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.

Graph Embedding Information Retrieval +2

Cannot find the paper you are looking for? You can Submit a new open access paper.