Towards Explainability in Professional Search

Russell-Rose, Tony and MacFarlane, Andrew. 2020. 'Towards Explainability in Professional Search'. In: The 3rd International Workshop on ExplainAble Recommendation and Search (EARS 2020). Xi'an, China 30 July 2020. [Conference or Workshop Item]

EARS 2020.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial.

Download (469kB) | Preview

Abstract or Description

Professions such as healthcare, law, recruitment and patent search all share an interest in the resolution of complex information needs. This typically involves the formulation of structured search strategies that are expressed as Boolean strings. However, creating effective Boolean queries remains an ongoing challenge, often compromised by a lack of transparency and reproducibility. In this paper we explore some of the shortcomings of current approaches, examine alternative solutions and make recommendations towards improved explainability in professional search.

Item Type:

Conference or Workshop Item (Paper)

Identification Number (DOI):


Explainable Search, Professional Search

Related URLs:

Departments, Centres and Research Units:



18 June 2020Accepted
30 July 2020Published

Event Location:

Xi'an, China

Date range:

30 July 2020

Item ID:


Date Deposited:

06 Aug 2020 11:12

Last Modified:

06 Aug 2020 11:12


View statistics for this item...

Edit Record Edit Record (login required)