Abstract
There are various studies to try to provide useful information to users in the Web. Web usage mining is a method to extract meaningful patterns based on web users’ log data. Most of existing approaches of web usage mining, however, had not considered users’ diverse intention but created general models. Web users’ search keywords can have various meaning upon their preference and context. This study is for generating the User Intent Network Model (UIN-Model) after collecting and analyzing web usage information corresponding to keywords. UIN-Model can supply web page navigation networks reflecting users’ various intention information. It can also be used to recommend most proper web pages and it has been confirmed that the suggested method was useful enough.
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Yoon, T., Lee, JH. (2013). A Study on Intention Network Modeling Based on User’s Interest Web-Page. In: Stephanidis, C. (eds) HCI International 2013 - Posters’ Extended Abstracts. HCI 2013. Communications in Computer and Information Science, vol 374. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39476-8_85
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DOI: https://doi.org/10.1007/978-3-642-39476-8_85
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