52 citations · 67 across the 3 of their papers we have counts for
4 papers · 1 filter
Is Interpretable Machine Learning Effective at Feature Selection for Neural Learning-to-Rank?
Lijun Lyu, Nirmal Roy, Harrie Oosterhuis +1
Neural ranking models have become increasingly popular for real-world search and recommendation systems in recent years. Unlike their tree-based counterparts, neural models are muc…
Hear Me Out: A Study on the Use of the Voice Modality for Crowdsourced Relevance Assessments
Nirmal Roy, Agathe Balayn, David Maxwell +1
The creation of relevance assessments by human assessors (often nowadays crowdworkers) is a vital step when building IR test collections. Prior works have investigated assessor qua…
Users and Contemporary SERPs: A (Re-)Investigation Examining User Interactions and Experiences
Nirmal Roy, David Maxwell, Claudia Hauff
The Search Engine Results Page (SERP) has evolved significantly over the last two decades, moving away from the simple ten blue links paradigm to considerably more complex presenta…
Searching to Learn with Instructional Scaffolding
Arthur Câmara, Nirmal Roy, David Maxwell +1
Search engines are considered the primary tool to assist and empower learners in finding information relevant to their learning goals-be it learning something new, improving their…