A Theoretical Model of Explanations in Recommender Systems. Caro-Martinez, M., Jimenez-Diaz, G., & Recio-Garcia, J., A. ICCBR 2018, 2018. abstract bibtex Explanations in recommender systems are essential to improve user confidence in recommender systems. In this work, we propose a theoretical model to categorize explanations in recommender systems. Although this work is sustained by previous explanation taxonomies, our model includes concepts not considered in current literature. Moreover, we make a novel contribution regarding the formalization of this model, as our long-term goal is to build an ontology that will be integrated into a development methodology to guide the implementation of explanations in recommendation systems.
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title = {A Theoretical Model of Explanations in Recommender Systems},
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abstract = {Explanations in recommender systems are essential to improve user confidence in recommender systems. In this work, we propose a theoretical model to categorize explanations in recommender systems. Although this work is sustained by previous explanation taxonomies, our model includes concepts not considered in current literature. Moreover, we make a novel contribution regarding the formalization of this model, as our long-term goal is to build an ontology that will be integrated into a development methodology to guide the implementation of explanations in recommendation systems.},
bibtype = {article},
author = {Caro-Martinez, Marta and Jimenez-Diaz, Guillermo and Recio-Garcia, Juan A},
journal = {ICCBR 2018}
}
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