A Heuristic to Capture Longer User Web
نویسنده
چکیده
In previous work we have proposed a data mining model to capture user web navigation patterns which models the navigation ses sions as a hypertext probabilistic grammar The grammar s higher prob ability strings correspond to the user preferred trails and an algorithm was given to nd all strings with probability above a threshold Herein we propose a heuristic aimed at nding longer trails composed of links whose average probability is above the threshold A dynamic threshold is provided whose value is at all times proportional to the length of the trail being evaluated We report on experiments with both real and synthetic data which were conducted to assess the heuristic s utility
منابع مشابه
An Heuristic to Capture Longer User Web Navigation Patterns
In previous work we have proposed a data mining model to capture user web navigation patterns, which models the navigation sessions as a hypertext probabilistic grammar. The grammar's higher probability strings correspond to the user preferred trails and an algorithm was given to nd all strings with probability above a threshold. Herein, we propose a heuristic aimed at nding longer trails compo...
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In previous work we have proposed a data mining model to capture user web navigation patterns, which models the navigation sessions as a hypertext probabilistic grammar. The grammar's higher probability strings correspond to the user preferred trails and an algorithm was given to nd all strings with probability above a threshold. Herein, we propose a heuristic aimed at nding longer trails compo...
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