Listarvol. 8, nº 2, june 2023 por tema "recommendation systems"
Mostrando ítems 1-2 de 2
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Local Model-Agnostic Explanations for Black-box Recommender Systems Using Interaction Graphs and Link Prediction Techniques
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)Explanations in recommender systems are a requirement to improve users’ trust and experience. Traditionally, explanations in recommender systems are derived from their internal data regarding ratings, item features, and ... -
OntoInfoG++: A Knowledge Fusion Semantic Approach for Infographics Recommendation
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)As humans tend to improvise and learn on a constant basis, the need for visualizing and recommending knowledge is increasing. Since the World Wide Web is exploded with a lot of multimedia content and with a growing amount ...