Using Context to Discern User Tasks on Desktop

Ning Lv; Jing Li Zhou; Lei Hua Qin

doi:10.4028/www.scientific.net/AMM.519-520.318

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 519-520Using Context to Discern User Tasks on Desktop

Using Context to Discern User Tasks on Desktop

Abstract:

The precise context of user tasks helps to ameliorate personal information management on desktop. This paper introduces a novel approach to discern user tasks using contextual information which is divided into two categories, user behavior based context and text based context. With the contextual information, user tasks are discerned by support vector machine (SVM) method. Experimental results showed the impact of distinct attributes of files on the performance of user task identification.

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Periodical:

Applied Mechanics and Materials (Volumes 519-520)

Pages:

318-321

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.519-520.318

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Online since:

February 2014

Authors:

Ning Lv*, Jing Li Zhou, Lei Hua Qin

Keywords:

Context, Machine Learning, Support Vector Machine (SVM), User Task

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* - Corresponding Author

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