摘要: Understanding user behaviors on Web sites enables site owners to make more usable, ultimately helping users achieve their goals quickly. Accordingly, researchers have devised methods for categorizing sessions in hopes of revealing interests. These techniques build profiles by combining users' navigation paths with other data features, such as page viewing time, hyperlink structure, and content. Previously, we presented complex many these features cluster profiles. In this paper, introduce a study systematic evaluation different associated weighting schemes. We present the results our study, including accuracy measures number clustering approaches, offer recommendations analysts. While further investigation over is needed definitively settle robust scheme, characterized analytic space
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