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Multi-Step Adversarial Perturbations on Recommender Systems Embeddings., , , , and . CoRR, (2020)Adversarial Recommender Systems: Attack, Defense, and Advances., , , and . Recommender Systems Handbook, Springer US, (2022)Music4All-Onion - A Large-Scale Multi-faceted Content-Centric Music Recommendation Dataset., , , , and . CIKM, page 4339-4343. ACM, (2022)Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews., , , , , , and . DL4SR@CIKM, volume 3317 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)A Review of Modern Fashion Recommender Systems., , , , , , and . CoRR, (2022)Sparse vs. Non-sparse: Which One Is Better for Practical Visual Tracking?, , , , and . CoRR, (2016)Using Mise-En-Scène Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation., , , and . CoRR, (2017)Adversarial Machine Learning in Recommender Systems (AML-RecSys)., , and . WSDM, page 869-872. ACM, (2020)A low-cost infrared-optical head tracking solution for virtual 3D audio environment using the Nintendo Wii-remote., and . Entertain. Comput., (2016)Movie genome: alleviating new item cold start in movie recommendation., , , , , , , and . User Model. User Adapt. Interact., 29 (2): 291-343 (2019)