Workshops

Recommender-Systems Evaluation is and maybe always has been a challenge. The Dagstuhl Seminar 24211 attempted to improve the current state of recommender-systems evaluation, and as a participant, I may report that it succeeded ;-). The Dagstuhl Seminar 24211, held from May 20 to May 24, 2024, focused on “Evaluation Perspectives of Recommender Systems: Driving Research Read more…

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 Read more…

KDD is a premier conference and KDD 2023 is also interesting for recommender-systems researchers as it features 3 recommender-systems workshops. Namely, EvalRS2023, A Well-Rounded Evaluation of Recommender Systems. The Second Edition of the workshop on well-rounding the evaluation of recommender systems, covering fairness, robustness and trustworthiness. OARS 2023, the workshop on online and adaptive recommender Read more…

I actually wasn´t really aware of this, but there is a yearly information retrieval workshop in Italy, the “12th Italian Information Retrieval Workshop”. This year, the workshop takes place from the 29th of June to the 1st of July 2022 in Milano. IIR2022 is organized by well-known researchers in the field of IR and recommender-systems, Read more…

State-of-the-art recommender systems are notoriously hard to design and improve upon, due to their interactive and dynamic nature. In particular, they involve a multi-step decision-making process, where a stream of interactions occurs between the user and the system. Leveraging reward signals from these interactions and creating a scalable and performant recommendation inference model is a Read more…

In 2019, 51% of the United States population had listened to at least one podcast, according to Edison Research’s “Infinite Dial 2019” research study. The percentage of people who listened to a podcast within the last month was 32%, an increase of 23% over the year before. Podcast search engine Listen Notes claims there are Read more…

The objective of this workshop is to foster contributions and bring together a growing community of researchers and practitioners interested in online, adaptive approaches to user modeling, recommendation and personalization, as well as other related tasks, such as evaluation, reproducibility, privacy and explainability. More: https://orsum.inesctec.pt/orsum2020/

The aim of this workshop is to bring together a community of researchers interested in tackling online harms and, at the same time, mitigating their impact on recommender systems. We will seek novel research contributions on misinformation- and harm-aware recommender systems. The main objective of the workshop is to further research in recommender systems that Read more…

The IntRS workshop series focuses on the “human side” or recommender systems. Its goal is to integrate modern HCI approaches and theories of human decision making into the construction of recommender systems. It focuses particularly on the impact of interfaces on decision support and overall satisfaction. IntRS workshops have been previously held at RecSys 2016, Read more…

The research literature that considers such more direct measurements of impact of recommender systems on the various stakeholders is comparably scarce and scattered. With the proposed workshop, we pursue different goals. First, the workshop will serve as a platform where researchers can present their latest works in which they analyzed different forms of impact of Read more…