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SAShA: Semantic-Aware Shilling Attacks on Recommender Systems Exploiting Knowledge Graphs., , , , and . ESWC, volume 12123 of Lecture Notes in Computer Science, page 307-323. Springer, (2020)Adversarial Recommender Systems: Attack, Defense, and Advances., , , and . Recommender Systems Handbook, Springer US, (2022)Interacting with Features: Visual Inspection of Black-box Fault Type Classification Systems in Electrical Grids., , , and . XAI.it@AI*IA, volume 2742 of CEUR Workshop Proceedings, page 135-141. CEUR-WS.org, (2020)Movie genome: alleviating new item cold start in movie recommendation., , , , , , , and . User Model. User Adapt. Interact., 29 (2): 291-343 (2019)Adversarial Machine Learning in Recommender Systems (AML-RecSys)., , and . WSDM, page 869-872. ACM, (2020)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)Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation., , , and . RecSys, page 598-603. ACM, (2022)The 2019 Multimedia for Recommender System Task: MovieREC and NewsREEL at MediaEval., , , , and . MediaEval, volume 2670 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Movie Rating Prediction Using Multimedia Content and Modeling as a Classification Problem., and . MediaEval, volume 2283 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)