Document (#34042)

Author

Huntington, P.
Nicholas, D.
Jamali, H.R.

Title

Website usage metrics : a re-assessment of session data

Source

Information processing and management. 44(2008) no.1, S.358-372

Year

2008

Abstract

Metrics derived from user visits or sessions provide a means of evaluating Websites and an important insight into online information seeking behaviour, the most important of them being the duration of sessions and the number of pages viewed in a session, a possible busyness indicator. However, the identification of session (termed often 'sessionization') is fraught with difficulty in that there is no way of determining from a transactional log file that a user has ended their session. No one logs out. Instead a session delimiter has to be applied and this is typically done on the basis of a standard period of inactivity. To date researchers have discussed the issue of a time out delimiter in terms of a single value and if a page view time exceeds the cut-off value the session is deemed to have ended. This approach assumes that page view time is a single distribution and that the cut-off value is one point on that distribution. The authors however argue that page time distribution is composed of a number of quite separate view time distributions because of the marked differences in view times between pages (abstract, contents page, full text). This implies that a number of timeout delimiters should be applied. Employing data from a study of the OhioLINK digital journal library, the authors demonstrate how the setting of a time out delimiter impacts on the estimate of page view time and the number of estimated session. Furthermore, they also show how a number of timeout delimiters might apply and they argue that this gives a better and more robust estimate of the number of sessions, session time and page view time compared to an application of a single timeout delimiter.

Theme

Internet

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4. Nicholas, D.; Huntington, P.; Jamali, H.R.; Dobrowolski, T.: Characterising and evaluating information seeking behaviour in a digital environment : Spotlight on the 'bouncer' (2007) 0.22

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5. Jung, S.; Herlocker, J.L.; Webster, J.: Click data as implicit relevance feedback in web search (2007) 0.21

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