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Frequent usage patterns generated can provide valuable information for several applications such as platform restructuring and recommendation. In this project, we aim to compare different practical methods, and to investigate the effect of user identity and user intention information on them. To that end, a technique and a framework need to be developed, in which frequent patterns are composed of more refined analysis result instead of simple frequent sequences of basic operations over all users behavior. The outcome of this project is expected to improve the user experience for the partner organizations product and such methods can be also used in various relevant applications.
Fred Popowich
Zelin Tian
Kinematicsoup Technologies Inc
Computer science
Media and communications
Simon Fraser University
Accelerate
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