Model-Agnostic Knowledge Graph Embedding Explanations for Recommender Systems
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-63797-1_1
Reference47 articles.
1. Ali, M., et al.: PyKEEN 1.0: a python library for training and evaluating knowledge graph embeddings. J. Mach. Learn. Res. 22(82), 1–6 (2021)
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3. Balog, K., Radlinski, F.: Measuring recommendation explanation quality: the conflicting goals of explanations. In: Proceedings of the 43rd international ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 329–338 (2020)
4. Bing, Q., Zhu, Q., Dou, Z.: Cognition-aware knowledge graph reasoning for explainable recommendation. In: Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, pp. 402–410 (2023)
5. Cantador, I., Brusilovsky, P., Kuflik, T.: 2nd workshop on information heterogeneity and fusion in recommender systems (HetRec 2011). In: Proceedings of the 5th ACM Conference on Recommender Systems, RecSys 2011. ACM, New York, NY, USA (2011)
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