Web Search Engine Result Pages (SERPs) are complex responses to queries, containing
many heterogeneous result elements (web results, advertisements, and specialised" …

While past research has shown that learning outcomes can be influenced by the amount of
effort students invest during the learning process, there has been little research into this …

Crowdsourcing has become an alternative approach to collect relevance judgments at scale
thanks to the availability of crowdsourcing platforms and quality control techniques that allow …

A widespread use of supervised ranking models has necessitated an investigation on how
consistent their outputs align with user expectations. While a match between the user …

Despite its dynamic nature, relevance is often measured in a context-independent manner in
information retrieval practice. We look into this discrepancy. We propose a contextual …

To address concerns of TREC-style relevance judgments, we explore two improvements.
The first one seeks to make relevance judgments contextual, collecting in situ feedback of …

A growing body of information retrieval research has studied the potential of search engines
as effective, scalable platforms for self-directed learning. Towards this goal, we explore …

Identifying security issues early is encouraged to reduce the latent negative impacts on the
software systems. Code review is a widely-used method that allows developers to manually …

Search engines have become essential tools for learning, providing access to vast amounts
of educational resources. However, selecting the most suitable resources from numerous …

Sign language interfaces offer rich, timely research problems. Recent advances in
computational methods have made a wider range of sign language interfaces possible. At …