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Reinforcement recommendation reasoning through knowledge graphs for explanation path quality., , , и . Knowl. Based Syst., (2023)Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations., , , и . SIGIR, стр. 646-656. ACM, (2022)Reinforcement Recommendation Reasoning through Knowledge Graphs for Explanation Path Quality., , , и . CoRR, (2022)Demystifying Recommender Systems: A Multi-faceted Examination of Explanation Generation, Impact, and Perception.. RecSys, стр. 1361-1363. ACM, (2023)Hands on Explainable Recommender Systems with Knowledge Graphs., , , и . RecSys, стр. 710-713. ACM, (2022)Knowledge-aware Recommendations: Exploring the Interplay between Utility, Explanation Quality, and Fairness in Path Reasoning Methods., , , , и . IIR, том 3448 из CEUR Workshop Proceedings, стр. 111-116. CEUR-WS.org, (2023)Towards Explainable Educational Recommendation through Path Reasoning Methods., , , , и . IIR, том 3448 из CEUR Workshop Proceedings, стр. 131-136. CEUR-WS.org, (2023)Explainable Recommender Systems with Knowledge Graphs and Language Models., , , , и . ECIR (5), том 14612 из Lecture Notes in Computer Science, стр. 352-357. Springer, (2024)Recency, Popularity, and Diversity of Explanations in Knowledge-based Recommendation., , , и . IIR, том 3177 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation., , , , и . ECIR (3), том 13982 из Lecture Notes in Computer Science, стр. 3-19. Springer, (2023)