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A Counterfactual Framework for Learning and Evaluating Explanations for Recommender Systems.

, , , , and . WWW, page 3723-3733. ACM, (2024)

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Building a Bridge between User-Adaptive Systems Evaluation and Software Testing., and . UMAP (Extended Proceedings), volume 1618 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Intelligent user interfaces for algorithmic transparency in emerging technologies., , , , , and . IUI Companion, page 129-130. ACM, (2019)Learning Item Temporal Dynamics for Predicting Buying Sessions., , and . IUI, page 251-255. ACM, (2016)UMAP 2017 THUM Workshop Chairs' Welcome & Organization., , , , , , , , , and . UMAP (Adjunct Publication), page 368-369. ACM, (2017)"End to End" Towards a Framework for Reducing Biases and Promoting Transparency of Algorithmic Systems., , , , , , , and . SMAP, page 1-6. IEEE, (2019)Addressing Temporal Aspects in User Modelling.. UMAP (Adjunct Publication), page 113-114. ACM, (2017)A Museum Visitors Classification Based On Behavioral and Demographic Features., , , and . UMAP (Adjunct Publication), page 383-386. ACM, (2019)Incorporating Dwell Time in Session-Based Recommendations with Recurrent Neural Networks., and . RecTemp@RecSys, volume 1922 of CEUR Workshop Proceedings, page 57-59. CEUR-WS.org, (2017)Mitigating Bias in Algorithmic Systems - A Fish-eye View., , , , , , , , and . ACM Comput. Surv., 55 (5): 87:1-87:37 (2023)A Counterfactual Framework for Learning and Evaluating Explanations for Recommender Systems., , , , and . WWW, page 3723-3733. ACM, (2024)