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ORCIDInformation Retrieval Research Journal , Volume 1
Volume 1, Number 1, 2025
- Djoerd Hiemstra
, Ismail Sengor Altingovde, Solomon Atnafu, Daniela Godoy, Ben He, Makoto P. Kato, Shangsong Liang, Haiming Liu, Vanessa Murdock, Monica Lestari Paramita, Barbara Poblete, Negin Rahimi, Debarshi Kumar Sanyal, Johanne R. Trippas:
Editorial. 1-2 - Savvina Daniil, Manel Slokom, Mirjam Cuper, Cynthia C. S. Liem, Jacco van Ossenbruggen, Laura Hollink:
On the challenges of studying bias in Recommender Systems: The effect of data characteristics and algorithm configuration. 3-27 - Ian Soboroff:
Don't Use LLMs to Make Relevance Judgments. 29-46 - Bhaskar Mitra:
Search and Society: Reimagining Information Access for Radical Futures. 47-92 - Sameh Frihat, Norbert Fuhr:
Supporting Evidence-Based Medicine by Finding Both Relevant and Significant Works. 93-108 - Charles Clarke:
Annotative Indexing. 109-136 - Emma J. Gerritse, Faegheh Hasibi, Arjen P. de Vries:
Graph Embeddings to Empower Entity Retrieval. 137-165
Volume 1, Number 2, 2025
- Yue Zheng, Haiming Liu, Mike Wald:
A survey of Inclusive Information Access. 167-196 - Catarina Pires, Sérgio Nunes, Luís F. Teixeira:
Evaluating Dense Model-based Approaches for Multimodal Medical Case Retrieval. 197-220 - Madhukar Dwivedi, Jaap Kamps:
Effectiveness of In-Context Learning for Due Diligence: A Reproducibility Study of Identifying Passages for Due Diligence. 221-245
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