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How to Perform Reproducible Experiments in the ELLIOT Recommendation Framework: Data Processing, Model Selection, and Performance Evaluation.

, , , , , , , , and . IIR, volume 2947 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)

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TAaMR: Targeted Adversarial Attack against Multimedia Recommender Systems., , and . DSN Workshops, page 1-8. IEEE, (2020)Adversarial Machine Learning in Recommender Systems.. SIGIR Forum, 57 (1): 14:1-14:2 (June 2023)A Regression Framework to Interpret the Robustness of Recommender Systems Against Shilling Attacks., , , and . IIR, volume 2947 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation., , , , , , , and . SIGIR, page 2405-2414. ACM, (2021)Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries., , , , and . SIGIR, page 1924-1928. ACM, (2023)The Idiosyncratic Effects of Adversarial Training on Bias in Personalized Recommendation Learning., , and . RecSys, page 730-735. ACM, (2021)Search Filter Ranking with Language-Aware Label Embeddings., , , and . WWW (Companion Volume), page 121-125. ACM, (2022)A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images., , , , and . SIGIR, page 1094-1103. ACM, (2021)A Study on the Relative Importance of Convolutional Neural Networks in Visually-Aware Recommender Systems., , , and . CVPR Workshops, page 3961-3967. Computer Vision Foundation / IEEE, (2021)Leveraging Content-Style Item Representation for Visual Recommendation., , , and . ECIR (2), volume 13186 of Lecture Notes in Computer Science, page 84-92. Springer, (2022)