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Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
Session-based recommendation (SR) gains increasing popularity because it helps greatly maintain users' privacy. Aside from its efficacy, explainability is also critical for developing a successful SR model, since it can improve the persuasiveness of the results, the users' satisfaction, and the debugging efficiency. However, the majority of current SR models are unexplainable and even those that claim to be interpretable cannot provide clear and convincing explanations of users' intentions anddoi:10.1145/3477495.3531895 fatcat:cj7oaa6vp5elle77w4ix5tgidq