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Title:
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HUMAN WEB BEHAVIOR MINING |
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Author(s):
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Peter Géczy , Noriaki Izumi , Shotaro Akaho , Kôiti Hasida |
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ISBN:
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978-972-8924-44-7 |
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Editors:
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Pedro Isaías , Miguel Baptista Nunes and João Barroso (associate editors Luís Rodrigues and Patrícia Barbosa) |
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Year:
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2007 |
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Edition:
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V I, 2 |
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Keywords:
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Web behavior mining, behavioral abstractions, navigation space, long tails, knowledge workers |
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Type:
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Full Paper |
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First Page:
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163 |
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Last Page:
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170 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Extraction, synthesis, and analysis of human behavior in electronic environments are of central importance in web
behavior mining, user modeling, personalization, and recommender systems. We present a novel framework for
elucidating human dynamics in electronic environments. It efficiently captures the spatiotemporal dimensions of human
interactions, and enables the extraction and analysis of the elemental and complex browsing patterns. The framework was
applied to exploration of knowledge worker browsing behavior on a large corporate intranet. Significant tendency to form
repetitive elemental and complex browsing patterns has been revealed. Knowledge workers exhibited diminutive
exploratory behavior and underutilization of available resources. All analyzed aspects of browsing behavior displayed
evident long tail characteristics. |
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