Segmenting multi-task user interaction log based on graph embedding
Robotic process automation requires the use of user interaction logs to design process models.However,user interaction log often contains multiple tasks,and the execution of different tasks is likely to interfere with each other.To address the above problems,an approach to multi-task user interaction log segmentation based on graph embedding was proposed.In this approach,the action context information was first integrated into the direct fol-lowing graph.Afterwards,the vector representation of the behavior was extracted by graph embedding algorithm.Finally,the user interaction log was segmented and clustered according to the precursor and successor correlation of the actions.In particular,to improve the accuracy of the action embedding,a weight enhancement method was pro-posed to optimize the sampling process in graph embedding algorithm.The experiments showed that the proposed approach could effectively solve the problem of user interaction log segmentation for multi-task sequential and inter-leaved execution.
robotic process automationuser interaction logslog segmentationgraph embedding
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