#ECIR2026 presentation by Savvina Daniil: "On the challenges of studying bias in Recommender Systems: The effect of data characteristics and algorithm configuration", the first paper of #IRRJ Volume 1 Number 1: https://doi.org/10.54195/irrj.19607
(this paper was presented at #RecSys too!)
#ECIR2026 again: Sérgio Nunes presented the #IRRJ paper "Evaluating Dense Model-based Approaches for Multimodal Medical Case Retrieval" https://doi.org/10.54195/irrj.19769

More #ECIR2026! Emma Gerritse presented the #IRRJ paper "Graph Embeddings to Empower Entity Retrieval"

https://doi.org/10.54195/irrj.19877

RE: https://sigmoid.social/@IRRJ/116329493336699625

Slides from my presentation on the IRRJ paper on "Emancipatory Information Retrieval": https://bhaskar-mitra.github.io/files/emancipatory-ir-irrj.pptx #ECIR2026 #IRRJ
cc: @ecir2026.eu

Bhaskar Mitra presented the #IRRJ paper: "Emancipatory Information Retrieval" at #ECIR2026

https://doi.org/10.54195/irrj.24531

(Photo: Mitra receives a paper copy of the issue that includes their paper)

Today, at the European Conference on Information Retrieval #ECIR2026, authors of seven #IRRJ papers presented their work in a dedicated #IRRJ session. A big thank you to our editors for running the journal!
The presentations for the #IRRJ session at the at the 48th European Conference on Information Retrieval #ECIR2026 are now in the conference schedule at: https://ecir2026.eu/programme/program-schedule/program/detail/38/irrj-papers-presentations
IRRJ Papers Presentations

irrj papers presentations

BREAKING: There will be an #IRRJ paper session at the 48th European Conference on Information Retrieval #ECIR2026 on 1 April in Delft, The Netherlands. https://ecir2026.eu
ECIR2026

The 48th European Conference on Information Retrieval (ECIR 2026) is Europe's premier forum for cutting-edge research in

Published at #IRRJ: "CRAWLDoc: A System for Contextual Ranking and Bibliographic Metadata Extraction from Web Resources" by Fabian Karl and Ansgar Scherp. #DocumentRanking, #BibliographicMetadataExtraction, #ScholarlyDataset

https://doi.org/10.54195/irrj.23861

CRAWLDoc: A System for Contextual Ranking and Bibliographic Metadata Extraction from Web Resources | Information Retrieval Research