20 x 2-year PostDoc ‘STAR’ fellowships at the University of Siegen (EU Marie Curie)

The University of Siegen has secured funding for 20 x 2-year ‘STAR’ postdoc fellowships. Funding comes from the EU Framework Programme for Research and Innovation (Horizon 2020) for implementing Marie Skłodowska-Curie Postdoc fellowships. The ‘STAR’ fellowships allow you to independently conduct your own research project, embedded in an existing research Read more…

Recommender-Systems.com: A Central Platform for the Recommender-System Community [Pre-Print]

Abstract We introduce Recommender-Systems.com (RS_c) as a central platform for the recommender-systems community. RS_c provides regular news on important events in the community as well as curated lists of recommender-system resources including datasets, algorithms, jobs, software, and learning materials. Based on a survey with 28 participants – mostly authors at Read more…

Synthetic vs. Real Reference Strings for Citation Parsing, and the Importance of Re-training and Out-Of-Sample Data for Meaningful Evaluations: Experiments with GROBID, GIANT and CORA [pre-print]

ABSTRACT Citation parsing, particularly with deep neural networks, suffers from a lack of training data as available datasets typically contain only a few thousand training instances. Manually labelling citation strings is very time-consuming, hence synthetically created training data could be a solution. However, as of now, it is unknown if Read more…

Recommender-Systems.com: The Central Platform for the Recommender Systems Community? A Beta-Preview and Survey.

For beginners in recommender systems, it is difficult to get an overview of the state-of-the-art, the most relevant venues, and helpful tools and datasets. Similarly, experts in recommender-systems may find it difficult to keep up to date with the latest developments as relevant publications and news are often scattered across Read more…

3 Well-Funded PhD & Postdoc Positions, up to 5 Years at the University of Siegen (Germany): AutoML, Algorithm Selection, Recommender-Systems …

Closed — for the latest job offerings, please visit our Jobs page We received a €1.25m research grant from the German state of North-Rhine Westphalia that allows us to hire 3 PhD students, postdoctoral researchers or research fellows in the fields of Automated Machine Learning (AutoML), Automated Algorithm Selection and Read more…

Edward Bergman joins our group as a D-REAL PhD student for research on automated algorithm selection in Information Retrieval (AutoIR), Recommender Systems (AutoRecSys) and Machine Learning (AutoML)

We welcome Edward Bergman as a new full-time PhD student here at the School of Computer Science and Statistics in Trinity College Dublin, funded through the new D-REAL SFI Centre for Research Training (CRT) and supported by the ADAPT Centre. Edward has completed a bachelor’s degree in Computer Science in Read more…

We seek to hire 1 Start-Up Founder / Entrepreneur / Commercial lead / CEO for Darwin & Goliath (Recommendations-as-a-Service)

The ADAPT Centre at Trinity College Dublin has received funding to hire two start-up founders to spin-out the business start-up Darwin & Goliath in the field of recommendations-as-a-service. While we successfully hired a future CTO, we are still seeking to hire a Commercial lead and potential future CEO for Darwin Read more…

CIKM Call for Papers: 29th ACM International Conference on Information and Knowledge Management (Galway, Ireland)

From 19 to 23 October 2020, the CIKM conference will take place in Galway, Ireland, and the call for papers has just been released. The Conference on Information and Knowledge Management (CIKM) is a key event for the international academic, business and government communities to discuss research on information retrieval, Read more…

Open Ph.D. Positions in Automated Machine Learning (AutoML), Recommender Systems, Meta-Learning, Algorithm Selection, and Federated Learning — Trinity College Dublin, Irland (Sept. ’20)

This is a continuous call until 2022, with student intakes in September every year (and potentially in March). Next deadline is the 29th of February 2020 for a start in September 2020 for the CRT-AI, and 18th of March for the D-Real CRT. Science Foundation Ireland (SFI) agreed to fund Read more…

Multi-stream Data Analytics for Enhanced Performance Prediction in Fantasy Football [Pre-Print]

http://aics2019.datascienceinstitute.ie/papers/aics_27.pdf Abstract. Fantasy Premier League (FPL) performance predictors tend to base their algorithms purely on historical statistical data. The main problems with this approach is that external factors such as injuries, managerial decisions and other tournament match statistics can never be factored into the final predictions. In this paper, we Read more…