Paul Cleverley

Paul Cleverley
Robert Gordon University | RGU · Aberdeen Business School

PhD Enterprise Search and Discovery, MSc (Distinction) Computing in Earth Sciences

About

14
Publications
1,666
Reads
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72
Citations
Introduction
Paul is a Geoscientist by background, now researching the science behind enterprise search. See more at his monthly blog: www.paulhcleverley.com

Publications

Publications (14)
Article
Full-text available
http://www.iskouk.org/content/best-both-worlds-highlighting-synergies-combining-knowledge-modelling-and-automated Research suggests organizations across all sectors waste a significant amount of time looking for information and often fail to leverage the information they have. In response, many organizations have deployed some form of enterprise s...
Article
Categories or tags that appear in faceted search interfaces which are representative of an information item, rarely convey unexpected or non-obvious associated concepts buried within search results. No prior research has been identified which assesses the usefulness of discriminative search term word co-occurrence to generate facets to act as catal...
Article
Organizations face a vocabulary disconnect between the terminology people use in search and the inherent ambiguity of terminology in their information. The mismatch leads to critical information being missed. This paper discusses how Boolean keyword search, the most commonly used approach in Enterprise search, compares with automatic Query Expansio...
Article
Full-text available
The research aim was to develop an understanding of information need characteristics for word co-occurrence-based search result filters (facets). No prior research has been identified into what enterprise searchers may find useful for exploratory search and why. Various word co-occurrence techniques were applied to results from sample queries perfo...
Article
Full-text available
COVID-19 has created unprecedented organisational challenges, yet no study has examined the impact on information search. A case study in a knowledge-intensive organisation was undertaken on 2.5 million search queries during the pandemic. A surge of unique users and COVID-19 search queries in March 2020 may equate to ‘peak uncertainty and activity’...
Article
Enterprise search is changing. The explosion of information within organizations, technological advances and availability of free OpenSource machine learning libraries offer many possibilities. Eighteen informants from practice, academia, search technology vendors and large organizations (Oil and Gas, Governments, Pharmaceuticals, Aerospace and Ret...
Article
Many organisations are re-creating the ‘Google-like’ experience behind their firewall to exploit their information. However, surveys show dissatisfaction with enterprise search is commonplace. No prior study has investigated unsolicited user feedback from an enterprise search user interface to understand the underlying reasons for dissatisfaction....
Working Paper
Full-text available
Article
Full-text available
With the exponential growth in ‘big data’ information volumes within the organization, the convergence of traditional business intelligence, enterprise search, social media, text analytics, knowledge organization and machine learning has the potential to revolutionize how we search for and discover information and knowledge. However, it appears to...
Article
No prior research has been identified that investigates the causal factors for workplace exploratory search task performance. The impact of user, task, and environmental factors on user satisfaction and task performance was investigated through a mixed methods study with 26 experienced information professionals using enterprise search in an oil and...
Article
Research suggests organizations across all sectors waste a significant amount of time looking for information and often fail to leverage the information they have. In response, many organizations have deployed some form of enterprise search to improve the "findability" of information. Debates persist as to whether thesauri and manual indexing or au...

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Projects

Projects (2)
Project
Towards a model for the causal factors and generative mechanisms for search task outcomes (user satisfaction, task performance and serendipity).