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Journal of Information Systems Engineering and Management

Using the Characteristics of Documents, Users and Tasks to Predict the Situational Relevance of Health Web Documents
Melinda Oroszlányová 1 * , Carla Teixeira Lopes 1 2, Sérgio Nunes 1 2, Cristina Ribeiro 1 2
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1 Department of Informatics Engineering, Faculty of Engineering of the University of Porto, PORTUGAL
2 INESC TEC, Porto, PORTUGAL
* Corresponding Author
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Research Article

Journal of Information Systems Engineering and Management, 2017 - Volume 2 Issue 4, Article No: 25
https://doi.org/10.20897/jisem.201725

Published Online: 04 Sep 2017

Views: 4277 | Downloads: 2389

Open Access
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APA 6th edition
In-text citation: (Oroszlányová et al., 2017)
Reference: Oroszlányová, M., Lopes, C. T., Nunes, S., & Ribeiro, C. (2017). Using the Characteristics of Documents, Users and Tasks to Predict the Situational Relevance of Health Web Documents. Journal of Information Systems Engineering and Management, 2(4), 25. https://doi.org/10.20897/jisem.201725
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Oroszlányová M, Lopes CT, Nunes S, Ribeiro C. Using the Characteristics of Documents, Users and Tasks to Predict the Situational Relevance of Health Web Documents. J INFORM SYSTEMS ENG. 2017;2(4):25. https://doi.org/10.20897/jisem.201725
AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Oroszlányová M, Lopes CT, Nunes S, Ribeiro C. Using the Characteristics of Documents, Users and Tasks to Predict the Situational Relevance of Health Web Documents. J INFORM SYSTEMS ENG. 2017;2(4), 25. https://doi.org/10.20897/jisem.201725
Chicago
In-text citation: (Oroszlányová et al., 2017)
Reference: Oroszlányová, Melinda, Carla Teixeira Lopes, Sérgio Nunes, and Cristina Ribeiro. "Using the Characteristics of Documents, Users and Tasks to Predict the Situational Relevance of Health Web Documents". Journal of Information Systems Engineering and Management 2017 2 no. 4 (2017): 25. https://doi.org/10.20897/jisem.201725
Harvard
In-text citation: (Oroszlányová et al., 2017)
Reference: Oroszlányová, M., Lopes, C. T., Nunes, S., and Ribeiro, C. (2017). Using the Characteristics of Documents, Users and Tasks to Predict the Situational Relevance of Health Web Documents. Journal of Information Systems Engineering and Management, 2(4), 25. https://doi.org/10.20897/jisem.201725
MLA
In-text citation: (Oroszlányová et al., 2017)
Reference: Oroszlányová, Melinda et al. "Using the Characteristics of Documents, Users and Tasks to Predict the Situational Relevance of Health Web Documents". Journal of Information Systems Engineering and Management, vol. 2, no. 4, 2017, 25. https://doi.org/10.20897/jisem.201725
ABSTRACT

Relevance is usually estimated by search engines using document content, disregarding the user behind the search and the characteristics of the task. In this work, we look at relevance as framed in a situational context, calling it situational relevance, and analyze whether it is possible to predict it using documents, users and tasks characteristics. Using an existing dataset composed of health web documents, relevance judgments for information needs, user and task characteristics, we build a multivariate prediction model for situational relevance. Our model has an accuracy of 77.17%. Our findings provide insights into features that could improve the estimation of relevance by search engines, helping to conciliate the systemic and situational views of relevance. In a near future we will work on the automatic assessment of document, user and task characteristics.

KEYWORDS
health information retrieval web situational relevance
REFERENCES
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