Mark Sanderson

Professor Mark Sanderson is the Discipline Head of the Information Storage Analysis and Retrieval group in the School of Computer Science and Information Technology. He is a researcher in information retrieval and works on the evaluation of search engines, summarisation, geographic search and log analysis.

Data, tools and platforms: How technology may help or hinder public policy decision making

What kinds of data sources, tools and platforms do we have available, what is the value and the challenge of data and new sources of information, what do we need and what is coming down the line that can help support better policy making, citizen...
Journal article

Statistical comparisons of non-deterministic IR systems using two dimensional variance

Retrieval systems with non-deterministic output are widely used in information retrieval. Common examples include sampling, approximation algorithms, or interactive user input. The effectiveness of such systems differs not just for different topics, but also for different instances of the system. The inherent variance presents a...
Journal article

Conferences versus journals in computer science

The question of which type of computer science (CS) publication—conference or journal—is likely to result in more citations for a published paper is addressed. A series of data sets are examined and joined in order to analyze the citations of over 195,000 conference papers and...
Journal article

Analyzing geographic query reformulation: an exploratory study

Search engine users typically engage in multiquery sessions in their quest to fulfill their information needs. Despite a plethora of research findings suggesting that a significant group of users look for information within a specific geographical scope, existing reformulation studies lack a focused analysis of...
Journal article

How do health care professionals select medical images they need?

Purpose This paper aims to report the results of a study investigating the relevance criteria used by health care professionals when seeking medical images. Design/methodology/approach Data were collected from 29 participants using a think‐aloud protocol and face‐to‐face interviews and analysed using the Straussian version of...