PMI-IRの拡張によるWebからのユーザ行動間の関連性抽出

抄録

To motivate users to start a new activity in everyday life, this study investigates the automatic modeling of users' real world activities from the web. To estimate the hierarchical relationships present in the activity model with the lowest possible error rate, we propose a method that divides the representation of activities into a noun part and a verb part, and calculates the mutual information between them. The result shows almost 80\% of the hierarchical relationship can be captured by proposed method.