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We Have Good Information for You: Cognitive Authority and Information Retrieval on the Web

We Have Good Information for You: Cognitive Authority and Information Retrieval on the Web

Filipe Roseiro Côgo, Roberto Pereira
Copyright: © 2016 |Pages: 20
ISBN13: 9781466695627|ISBN10: 1466695625|EISBN13: 9781466695634
DOI: 10.4018/978-1-4666-9562-7.ch008
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MLA

Côgo, Filipe Roseiro, and Roberto Pereira. "We Have Good Information for You: Cognitive Authority and Information Retrieval on the Web." Business Intelligence: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2016, pp. 160-179. https://doi.org/10.4018/978-1-4666-9562-7.ch008

APA

Côgo, F. R. & Pereira, R. (2016). We Have Good Information for You: Cognitive Authority and Information Retrieval on the Web. In I. Management Association (Ed.), Business Intelligence: Concepts, Methodologies, Tools, and Applications (pp. 160-179). IGI Global. https://doi.org/10.4018/978-1-4666-9562-7.ch008

Chicago

Côgo, Filipe Roseiro, and Roberto Pereira. "We Have Good Information for You: Cognitive Authority and Information Retrieval on the Web." In Business Intelligence: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 160-179. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-9562-7.ch008

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Abstract

Through the concept of Cognitive Authority, information relevance and quality have been related to the expertise/skill of those who publish and share information on the Web. This chapter discusses how the concept of cognitive authority can be used in order to improve the information retrieval on folksonomy-based systems. The hypothesis is that a ranking scheme that takes into account the cognitive authority of the information sources provides results of higher relevance and quality to users. To verify this hypothesis, the Folkauthority approach is adopted; a ranking scheme called AuthorityRank is proposed; and an information retrieval system, named AuthoritySearch, is built. A real social network is used to simulate the authority relationship among users, and the AuthorityRank scheme is compared with the tf-idf scheme using the NDCG metric. The results indicate a statistically significant improvement in the quality and relevance of the information obtained through the use of the AuthorityRank scheme.

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