Emmanouil Georgios Lionis
Research title: Developing and Evaluating Personalized Search Models
Necessary cookies enable core functionality. The website cannot function properly without these cookies, and can only be disabled by changing your browser preferences.
Analytical cookies help us improve our website. We use Google Analytics. All data is anonymised.
Clarity helps us to understand our users’ behaviour by visually representing their clicks, taps and scrolling. All data is anonymised.
Research title: Developing and Evaluating Personalized Search Models
Lionis, Emmanouil Georgios ORCID: https://orcid.org/0009-0004-3931-9657, Macdonald, Craig
ORCID: https://orcid.org/0000-0003-3143-279X and MacAvaney, Sean
ORCID: https://orcid.org/0000-0002-8914-2659
(2025)
Pipeline Inspection, Visualization, and Interoperability in PyTerrier.
In: 48th European Conference on Information Retrieval (ECIR 2026), Delft, The Netherlands, 30 March - 1 April 2026,
(Accepted for Publication)
Lionis, Emmanouil Georgios ORCID: https://orcid.org/0009-0004-3931-9657, Ju, Jia-Huei, Nalmpantis, Angelos, Thuis, Casper, MacAvaney, Sean
ORCID: https://orcid.org/0000-0002-8914-2659 and Yates, Andrew
(2025)
To Case or Not to Case: An Empirical Study in Learned Sparse Retrieval.
In: 48th European Conference on Information Retrieval (ECIR 2026), Delft, The Netherlands, 30 March - 1 April 2026,
(Accepted for Publication)
Lionis, Emmanouil Georgios ORCID: https://orcid.org/0009-0004-3931-9657, Macdonald, Craig
ORCID: https://orcid.org/0000-0003-3143-279X and MacAvaney, Sean
ORCID: https://orcid.org/0000-0002-8914-2659
(2025)
Pipeline Inspection, Visualization, and Interoperability in PyTerrier.
In: 48th European Conference on Information Retrieval (ECIR 2026), Delft, The Netherlands, 30 March - 1 April 2026,
(Accepted for Publication)
Lionis, Emmanouil Georgios ORCID: https://orcid.org/0009-0004-3931-9657, Ju, Jia-Huei, Nalmpantis, Angelos, Thuis, Casper, MacAvaney, Sean
ORCID: https://orcid.org/0000-0002-8914-2659 and Yates, Andrew
(2025)
To Case or Not to Case: An Empirical Study in Learned Sparse Retrieval.
In: 48th European Conference on Information Retrieval (ECIR 2026), Delft, The Netherlands, 30 March - 1 April 2026,
(Accepted for Publication)