Person

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.
Presentation

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

Improving patient record search: a meta-data based approach

The International Classification of Diseases (ICD) is a type of meta-data found in many Electronic Patient Records. Research to explore the utility of these codes in medical Information Retrieval (IR) applications is new, and many areas of investigation remain, including the question of how reliable...
Journal article

Examining the limits of crowdsourcing for relevance assessment

Evaluation is instrumental to developing and managing effective information retrieval systems. For this process, enlisting crowdsourcing has proven viable. However, less understood are crowdsourcing's limits for evaluation, particularly for domain-specific search. The authors compare relevance assessments gathered using crowdsourcing with those from a domain expert...
Journal article

Understanding collaborative search for places of interest

Finding a place of interest (e.g., a restaurant, hotel, or attraction) is often related to a group information need, however, the actual multiparty collaboration in such searches has not been explored, and little is known about its significance and related practices. We surveyed 100 computer...
Journal article

Evaluating the performance of information retrieval systems using test collections

Introduction. Evaluation is highly important for designing, developing and maintaining effective information retrieval or search systems as it allows the measurement of how successfully an information retrieval system meets its goal of helping users fulfil their information needs. But what does it mean to be...