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Accepted for/Published in: JMIR Human Factors

Date Submitted: May 11, 2021
Date Accepted: Jan 9, 2022

The final, peer-reviewed published version of this preprint can be found here:

Designing Formulae for Ranking Search Results: Mixed Methods Evaluation Study

DOUZE L, Pelayo S, Messaadi N, Grosjean J, Kerdelhué G, Marcilly R

Designing Formulae for Ranking Search Results: Mixed Methods Evaluation Study

JMIR Hum Factors 2022;9(1):e30258

DOI: 10.2196/30258

PMID: 35333180

PMCID: 8994140

The benefits of involving end-users in the design of formulae for ranking search results

  • Laura DOUZE; 
  • Sylvia Pelayo; 
  • Nassir Messaadi; 
  • Julien Grosjean; 
  • Gaétan Kerdelhué; 
  • Romaric Marcilly

ABSTRACT

Background:

The Internet is a major information source for healthcare professionals; it contributes to improving healthcare quality and lifelong training. However, professionals are drowned in overabundant information; the challenge is how to identify relevant documents. Search engines must sort the search results and present the most relevant documents first.

Objective:

To evaluate two parameter settings of a formula ranking the search results produced by a healthcare literature search engine (LiSSa), using a quantitative and qualitative evaluation method involving the end-users.

Methods:

Ten general practitioners and ten registrars participated in user tests. They first assessed the relevance of the search results and then rated the ranking criteria used in the formulae.

Results:

The method used provided relevant feedback for the selection and improvement of the ranking formula. The formula that prioritized articles representing a consensus in the field was preferred. When users assess an article’s relevance, they primarily judge the topic, the study methods, and its value in clinical practice.

Conclusions:

Our application of a qualitative methodology generated valuable user input on improving LiSSa’s ranking formula and moving towards a highly usable search engine. A user-based evaluation enabled us to design a formula that met the healthcare professionals' needs.


 Citation

Please cite as:

DOUZE L, Pelayo S, Messaadi N, Grosjean J, Kerdelhué G, Marcilly R

Designing Formulae for Ranking Search Results: Mixed Methods Evaluation Study

JMIR Hum Factors 2022;9(1):e30258

DOI: 10.2196/30258

PMID: 35333180

PMCID: 8994140

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