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Adversarial Recommender Systems: Attack, Defense, and Advances.

, , , and . Recommender Systems Handbook, Springer US, (2022)

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Exposing Open Street Map in the Linked Data cloud., , , , , and . SEBD, page 302-309. Matematicamente.it, (2016)Time and Local Popularity in top-N Recommendation., , , , and . CoRR, (2018)Counterfactual Fair Opportunity: Measuring Decision Model Fairness with Counterfactual Reasoning., , , , and . CoRR, (2023)Adherence and Constancy in LIME-RS Explanations for Recommendation., , , , , and . CoRR, (2021)Multi-Step Adversarial Perturbations on Recommender Systems Embeddings., , , , and . CoRR, (2020)Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews., , , , , , and . DL4SR@CIKM, volume 3317 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)Scalable Cloud-Native Pipeline for Efficient 3D Model Reconstruction from Monocular Smartphone Images., , , and . ECSA, volume 14212 of Lecture Notes in Computer Science, page 266-282. Springer, (2023)Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering., , , , , and . ECIR (1), volume 13980 of Lecture Notes in Computer Science, page 33-48. Springer, (2023)Adversarial Recommender Systems: Attack, Defense, and Advances., , , and . Recommender Systems Handbook, Springer US, (2022)Counterfactual Reasoning for Responsible AI Assessment., , , , and . Ital-IA, volume 3486 of CEUR Workshop Proceedings, page 347-352. CEUR-WS.org, (2023)