On Friday I was privileged to present a paper called ‘Towards Explainability in Professional Search‘ at the 3rd International Workshop on ExplainAble Recommendation and Search (EARS 2020), part of SIGIR 2020. This paper was co-presented with my colleague Andy MacFarlane of City University, and represents our collective thoughts and recommendations on how to develop more transparent, reproducible and explainable systems in professional search. Understandably, given our respective geographic locations the presentation was made remotely, and we are thankful for the local attendees who stayed around until 22:00 (local time) for our talk. The slides are available below. We view these recommendations as a conversation starter rather than the last word, so comments & feedback are particularly welcome. The paper itself is available for download from the EARS website.
Information Interaction 
[…] professional search from a paradigm based on monolithic, static, procedural strings to one based on interactive, declarative, executable objects, with corresponding benefits in transparency, reproducibility and effectiveness. As always, […]