On extracting session data from activity logs

@inproceedings{Mehrzadi2012OnES,
  title={On extracting session data from activity logs},
  author={David Mehrzadi and Dror G. Feitelson},
  booktitle={SYSTOR},
  year={2012}
}
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… CONTINUE READING

Figures, Tables, and Topics from this paper.

Similar Papers

Citations

Publications citing this paper.
SHOWING 1-10 OF 14 CITATIONS

User Session Identification Based on Strong Regularities in Inter-activity Time

VIEW 7 EXCERPTS
CITES RESULTS, METHODS & BACKGROUND
HIGHLY INFLUENCED

References

Publications referenced by this paper.
SHOWING 1-4 OF 4 REFERENCES

Empirical observations on the session timeout threshold

  • Inf. Process. Manage.
  • 2009
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Characterizing Web user sessions

  • SIGMETRICS Performance Evaluation Review
  • 2000
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL