Djoerd Hiemstra

An Index Lake for Anserini by Gijs Hendriksen, Djoerd Hiemstra, Jimmy Lin, and Arjen de Vries We present an index lake for Anserini: a remote index representation of all inverted indexes from Anserini’s reproducibility suite.

Large Language Model Relevance Judgments as Relevance Feedback for Scientific Search by Daria Alexander, Maik Fröbe, Gijs Hendriksen, Matthias Hagen, Djoerd Hiemstra, Martin Potthast and Arjen de Vries We describe our participation in Task 1 on scientific…

Analytical Query Processing Beyond Main Memory by Laurens Kuiper The evolution of relational database management systems has been shaped significantly by advancements in computing hardware.

The third issue of IRRJ contains excellent research papers: CRAWLDoc, a system for contextual ranking and bibliographic metadata extraction from web resources by Fabian Karl and Ansgar Scherp; Simple techniques for efficient top-k batch query processing by

Unlocking the Value of Data with Vertical Federated Learning by Afsana Khan Organisations generate and store increasing amounts of data through their daily activities.

by Benard Wanjiru, Patrick van Bommel, Djoerd Hiemstra Automated grading tools can save time and effort while ensuring consistency in evaluating assignments.

Web search engines are essential for navigating the web.

by Gijs Hendriksen, Djoerd Hiemstra, and Arjen P. de Vries We propose to redesign the access to Web-scale indexes.

We organize the third International Workshop on Open Web Search (#WOWS) at ECIR 2026 with two calls for contributions: The first call targets scientific contributions on collaborative search engine building, including crawling, deployment, evaluation, and…

In the second issue of IRRJ, Paul Kantor, writes an editorial arguing for a more critical adoption of generative AI in information retrieval (IR).