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Extending CBR with Multiple Knowledge Sources from Web.

, , and . ICCBR, volume 6176 of Lecture Notes in Computer Science, page 287-301. Springer, (2010)

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Make it personal: A social explanation system applied to group recommendations., , , and . Expert Syst. Appl., (2017)Local Model-Agnostic Explanations for Black-box Recommender Systems Using Interaction Graphs and Link Prediction Techniques., , and . Int. J. Interact. Multim. Artif. Intell., 8 (2): 202 (2023)SocialFan: Integrating Social Networks Into Recommender Systems., , and . ICTAI, page 171-176. IEEE, (2018)Unsupervised clustering applied to the optimization of a Case-based Reasoning system for the selection of optimal image explanation methods., , and . ICCBR Workshops, volume 3389 of CEUR Workshop Proceedings, page 105-116. CEUR-WS.org, (2022)Conceptual Modelling of Explanation Experiences Through the iSeeOnto Ontology., , , , and . ICCBR Workshops, volume 3389 of CEUR Workshop Proceedings, page 117-128. CEUR-WS.org, (2022)The Current and Future Role of Visual Question Answering in eXplainable Artificial Intelligence., , , and . ICCBR Workshops, volume 3438 of CEUR Workshop Proceedings, page 172-183. CEUR-WS.org, (2023)An Algorithm Independent Case-Based Explanation Approach for Recommender Systems Using Interaction Graphs., , and . ICCBR, volume 11680 of Lecture Notes in Computer Science, page 17-32. Springer, (2019)A Distributed CBR Framework through Semantic Web Services., , and . SGAI Conf., page 88-101. Springer, (2005)Clood CBR: Towards Microservices Oriented Case-Based Reasoning., , , , and . ICCBR, volume 12311 of Lecture Notes in Computer Science, page 129-143. Springer, (2020)Extending jCOLIBRI for Textual CBR., , , and . ICCBR, volume 3620 of Lecture Notes in Computer Science, page 421-435. Springer, (2005)