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The SIGIR 2024 — the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval — is taking place in July in Washington. As usual, SIGIR features several workshops related to recommender systems.
Exciting this year are particularly the Third Workshop on Personalization and Recommendations in Search (PaRiS) and the International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2024). Still, of course, the other workshops may also be relevant to recommender systems.
Deadline for submissions to both workshops is the 25th of April, 2024.
I am the founder of Recommender-Systems.com and head of the Intelligent Systems Group (ISG) at the University of Siegen, Germany https://isg.beel.org. We conduct research in recommender-systems (RecSys), personalization and information retrieval (IR) as well as on automated machine learning (AutoML), meta-learning and algorithm selection. Domains we are particularly interested in include smart places, eHealth, manufacturing (industry 4.0), mobility, visual computing, and digital libraries.
We founded or maintain, among others, LensKit-Auto, Darwin & Goliath, Mr. DLib, and Docear, each with thousand of users; we contributed to TensorFlow, JabRef and others; and we developed the first prototypes of automated recommender systems (AutoSurprise and Auto-CaseRec) and Federated Meta Learning (FMLearn Server and Client).