Long tails and analysis of knowledge worker intranet browsing behavior

Authors:
Peter Géczy;Noriaki Izumi;Shotaro Akaho;Kôiti Hasida
Affiliations:
National Institute of Advanced Industrial Science and Technology, Tsukuba, Tokyo, Japan;National Institute of Advanced Industrial Science and Technology, Tsukuba, Tokyo, Japan;National Institute of Advanced Industrial Science and Technology, Tsukuba, Tokyo, Japan;National Institute of Advanced Industrial Science and Technology, Tsukuba, Tokyo, Japan
Venue:
BIS'07 Proceedings of the 10th international conference on Business information systems
Year:
2007

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Abstract

We present a formal approach to analysis of human browsing behavior in electronic spaces. An analysis of knowledge workers' interactions on a large corporate intranet have revealed that users form repetitive elemental and complex browsing patterns, use narrow spectrum of resources, and exhibit diminutive exploratory behavior. Knowledge workers had well defined targets and accomplished their browsing tasks via few subgoals. The analyzed aspects of browsing behavior exposed significant long tail characteristics that can be accurately modeled by the introduced novel distribution. The long tail behavioral effects present new challenges and opportunities for business information systems.