Event Calendar

This calendar includes deadlines for conferences and workshops relating to recommender systems including some conferences relating to machine learning. Switch to the “Agenda” tab and select “Look for more” to see a list of all events or open the calendar in a New Browser Window.

If you want to help us maintaining the calendar, please contact us.

News From Our Blog About Recommender-Systems Events

Finally, the recommender systems community has its own journal: “Frontiers in Big Data | Recommender Systems”

Almost a year ago, we asked the question of why there was no journal on recommender systems. Now, there is a journal and we congratulate Bart Goethals (University of Antwerp) for initiating it. The journal “Frontiers in Big Data | Recommender Systems” is open access and welcomes all kinds of article types relating to recommender […]

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The ACM RecSys Conference introduces major changes to the submission process (no short-papers; response phase; ethics)

Alain Starke, Publicity Co-Chair of the ACM Recommender System Conference 2021, announced a few major changes to the submission process. There won’t be a short-paper track anymore. Instead, authors are encouraged to submit papers of any length (up to 14 pages). The length should “reflect what is needed for the content of the research, and […]

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‘ACM Hypertext’ (HT21): Call for Papers is out

The 2021 ACM Hypertext conference (29. Aug. – 1 Sept.) will be hosted by Trinity College Dublin (TCD) and the ADAPT Centre in Dublin, Ireland, EU. It will be organized by Owen Conlan (TCD), Eelco Herder (Radboud Universiteit Nijmegen), Nicole Basaraba (Maastricht University), and Annalina Caputo (Dublin City University). The call for papers was released […]

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15th ACM Conference on Recommender Systems (RecSys 2021): Call for Papers

ACM RecSys has published the Call for Papers for the 15th ACM Conference on Recommender Systems (RecSys 2021), which will be held in Amsterdam, Netherlands, from 27th of September to 1st of October, 2021. It seems that so far the organizers are hoping for a ‘real’ conference with physical attendance but they will “accommodate remote […]

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RecSys@NeurIPS2020: 4 Papers about Recommender Systems

NeurIPS 2020 will start in a few days. Given the importance of machine learning for recommender systems, there are many relevant papers. In addition, there are four papers that directly relate to recommender systems: Sampling-Decomposable Generative Adversarial Recommender Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen Abstract: Recommendation techniques are important approaches for alleviating information overload. […]

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NVIDIA Team wins the ACM RecSys Challenge 2020

It seems that NVIDIA becomes a new big player in the recommender-system community. After introducing Merlin – a Framework for Deep Recommender Systems – and offering an online course for Building Intelligent Recommender Systems, a team of NVIDIA employees now won the ACM RecSys Challenge 2020. The goal of the challenge was to “predict the […]

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4 out of 9 demo papers at the ACMRecSys conference relate to AutoRecSys

It’s great to see that 4 out of 9 demo papers at the 2020 ACM Recommender Systems conference relate to Automated Recommender Systems (AutoRecSys). … and a fifth paper is also in the pipeline (but was rejected). Disclaimer: One of the accepted papers and the fifth paper were co-authored by myself.

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CORE Conference Ranking 2020 Removes JCDL and other Digital Library Conferences from its Database

The ACM/IEEE Joint Conference on Digital Libraries (JCDL) is the premier conference in the field of digital libraries and, besides the ACM RecSys, a good choice for publishing work related to research-paper recommender systems, citation recommenders, venue recommendation systems, reviewer assignment problem etc. Until recently, the CORE Conference Ranking listed JCDL as an A* conference. […]

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SIGIR 2020 Summer School Programme Online

SIGIR provides a great summer school this year with interesting talks about personalized search, offline evaluation of information retrieval (IR) systems and many more. https://sigir.org/sigir2020/summer-school/

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Free ‘Resource-aware Machine Learning’ summer school in Dortmund, Germany (virtually)

The International Summer School on resource-aware Machine Learning brings together lectures from the research area of data analysis (Machine Learning, data mining, statistics) and embedded systems (cyber-physical systems). It aims at taking into account the constraint of limited resources of host devices used for data analysis. The lectures are held by leading experts in these […]

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