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A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images.

, , , , and . SIGIR, page 1094-1103. ACM, (2021)

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Top-N Recommendation Algorithms: A Quest for the State-of-the-Art., , , , and . UMAP, page 121-131. ACM, (2022)Aspect based sentiment analysis in music: a case study with spotify., , , , and . SAC, page 696-703. ACM, (2022)An evaluation of SimRank and Personalized PageRank to build a recommender system for the Web of Data., , , and . WWW (Companion Volume), page 1477-1482. ACM, (2015)Brain Computer Interface, Visual Tracker and Artificial Intelligence for a Music Polyphony Generation System., , , and . INTERACT (5), volume 12936 of Lecture Notes in Computer Science, page 368-371. Springer, (2021)Feature Factorization for Top-N Recommendation: From Item Rating to Features Relevance., , , and . RecSysKTL, volume 1887 of CEUR Workshop Proceedings, page 16-21. CEUR-WS.org, (2017)Assessing the Impact of a User-Item Collaborative Attack on Class of Users., , and . ImpactRS@RecSys, volume 2462 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Ranking the Linked Data: The Case of DBpedia., , , and . ICWE, volume 6189 of Lecture Notes in Computer Science, page 337-354. Springer, (2010)Adherence and Constancy in LIME-RS Explanations for Recommendation (Long paper)., , , , , and . KaRS/ComplexRec@RecSys, volume 2960 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)V-Elliot: Design, Evaluate and Tune Visual Recommender Systems., , , , , , , and . RecSys, page 768-771. ACM, (2021)Exploiting Regression Trees as User Models for Intent-Aware Multi-attribute Diversity., , , , , and . CBRecSys@RecSys, volume 1448 of CEUR Workshop Proceedings, page 2-9. CEUR-WS.org, (2015)