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Title:
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ALGORITHM AND TECHNIQUE TO DISCOVER METHODS TO DRIVE USER ENGAGEMENT BY MINING WEB LOGS USING A PSEUDO CORRELATIONCAUSATION METHODOLOGY |
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Author(s):
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Amr Awadallah , Daniel Ferrante , Sajjit Thampy |
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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 II, 2 |
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Keywords:
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Statistical Data Mining, Web log mining |
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Type:
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Poster/Demonstration |
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First Page:
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346 |
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Last Page:
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348 |
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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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One of the key questions that need to be addressed when running a web portal is to understand user behavior and to
identify what areas can be improved to drive up user engagement. The technique described in this paper addresses this
issue. It does so by mining out cohorts of users from web log data and adopting an innovative combination of a
correlation and a causation methodology to identify specific areas within a web portal that could be used to drive up user
engagement. |
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