Jornada do usuário: a análise de logs como metodologia para o estudo do comportamento de busca em sistemas de informação dos usuários do Portal LexML

Samuel Santos da Rosa; Rita do Carmo Ferreira Laipelt; Luciana Monteiro-Krebs

doi:10.24208/rebecin.v8i.255

Authors

Samuel Santos da Rosa Universidade Federal do Rio Grande do Sul https://orcid.org/0000-0001-7209-6644
Rita do Carmo Ferreira Laipelt Universidade Federal do Rio Grande do Sul
Luciana Monteiro-Krebs Universidade Federal do Rio Grande do Sul https://orcid.org/0000-0002-2882-6803

DOI:

https://doi.org/10.24208/rebecin.v8i.255

Keywords:

Log Analysis; Information Searching Behaviour; Information Retrieval; Information Retrieval Systems.

Abstract

The exponential growth in the production and storage of information has generated a constant change in the informational behavior of users, requiring the use of methods that assist in the collection of information about these users. The log analysis is one of those methods, as it allows identifying the actions of users of an information system. The present work aims to analyze, using the log analysis methodology, the information searching behavior of users of the Portal LexML. They compose the analysis corpus 882 logs divided into 236 user journeys Methodological path occurred in four stages: Structuring and Organization; Classification and Selection; Validation; Statistical analysis; and User Journey Analysis. As results were observed: (a) low interaction with the system and with high index of modified expressions in the construction of users expressions and search strategies; (b) the construction of strategies that mostly start from the general to the specific; (c) use of legal numbering as the most used terminological resource; (d) a low use of booleans and modifiers. We identified a user profile characterized by simple searches with a low rate of request to the system. It is concluded that the log analysis is a valuable data source for the study of information searching behavior, by bringing a range of available information that can be analyzed, making this an important methodology in the improvement of the SRI and indexing process.

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References

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