On extracting session data from activity logs

  title={On extracting session data from activity logs},
  author={David Mehrzadi and D. Feitelson},
  booktitle={SYSTOR '12},
Activity logs from large-scale systems facilitate the study of user behavior, which can be used to improve and tune the user experience. However, the available data often lacks important elements such as the identification of user sessions. Previous work typically compensated for this by setting a threshold of around 30 minutes, and assuming that breaks in activity longer than the threshold reflect breaks between sessions. We show that using such a global threshold introduces artifacts that may… Expand
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