AJIT-e: Bilişim Teknolojileri Online Dergisi

Yazarlar: Veli Özcan BUDAK, Çiğdem EROL

Konular:Fen

DOI:10.5824/ajite.2020.04.002.x

Anahtar Kelimeler:Information Retrieval,Apriori,Association Rules,Web Usage Mining

Özet: Websites are an interaction tool in which the first contact is made with target users, institutionally, or individually. This tool has an important potential in which different patterns of user behaviors are able to be detected in the process of excessive information retrieval and visit traffic. These patterns might play an important role, in terms of making the user needs more clear and to enable site developers to make updates in line with these needs. The purpose of this study is to determine the differentiation of users' information retrieval needs on the websites of Kırklareli University, in the period of the Covid-19 pandemic that experienced worldwide increases its effectiveness in our country. In the direction of this purpose, it is aimed to reveal the relationships between the information retrieval behavior of the users and the visiting behavior of them by analyzing them with the apriori algorithm, both independently and together. In terms of the concept of information retrieval, the results have shown that the users tried to meet their information needs with various searching terms for "thesis writing". This result indicates that the postgraduate students were active in the related period. In terms of the visiting behavior, it has been revealed that the pages with the theme of "distance education", "coronavirus" and "holiday" were mostly visited ones. In terms of the visiting behaviors shown after the information retrieval behaviors, the coexistence of the visits with the theme of “thesis writing”, “holiday” and “postponing the education” has been observed. The behavior patterns which have been revealed as a result of the study and the suggestions about how to use these patterns are explained in detail within the scope of the study.

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