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Inferring web page relevancy through keyboard and mouse usage
Saniya Zahoor, Digvijaysingh Rajput, ,
Published in Institute of Electrical and Electronics Engineers Inc.
Pages: 474 - 478
We live in the society in which Computers and the Web are widely used for accessing all kinds of information. The user accesses the web primarily through a web browser. All the user behaviour on his browser (like Navigation, Print, Bookmark, Save) can be tracked to infer the interest of the user. Analysing the user's behaviour while browsing web pages can be done by monitoring the keyboard and mouse usage. These behaviour activities are user interest indicators too, if interpreted correctly. A lot of research has been done on various Implicit and Explicit interest indicators in User Profiling but very few are specific to the users' keyboard and mouse usage. The users' behaviour can be extensively investigated to infer user interest on web pages. In this paper we pre-set a framework of how to analyse the user behaviour through his mouse and keyboard usage. We go on to suggest how these activities can be inferred as implicit interest indicators. These web activities reveal a lot about the user and the relevancy of the web page to the user can be computed by using his keyboard and mouse usage. © 2015 IEEE.
About the journal
JournalData powered by Typeset2015 International Conference on Computing Communication Control and Automation
PublisherData powered by TypesetInstitute of Electrical and Electronics Engineers Inc.
Open AccessNo