Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The analysis of a b site based on usage data is an important task as it provides insight into the organization of the site and its adequacy regarding user needs. This allows the relationship beten prior categories and user browsing patterns to be explored.   propose an approach for discovering the profiles of visitor groups. To this end,  begin by mapping user interests into symbolic objects, which is the basis of the Symbolic Data Analysis and represents here a successful interaction of the user with the b site.  then identify groups of users with similar behavior by means of a dynamic clustering approach applying a context dependent dissimilarity measure. The method was applied to identify visitor groups of a b site in the educational domain and also to analyze the traces of different user behavior.
['A. da Silva', 'Yves Lechevallier', 'F. S. de. Carvalho', 'Brigitte Trousse']
I am writing a research paper on a idea Mining Web Usage Data for Discovering Navigation Clusters
[{"from": "human", "value": "I am writing a research paper on a idea Mining Web Usage Data for Discovering Navigation Clusters"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The analysis of a b site based on usage data is an important task as it provides insight into the organization of the site and its adequacy regarding user needs. This allows the relationship beten prior categories and user browsing patterns to be explored.   propose an approach for discovering the profiles of visitor groups. To this end,  begin by mapping user interests into symbolic objects, which is the basis of the Symbolic Data Analysis and represents here a successful interaction of the user with the b site.  then identify groups of users with similar behavior by means of a dynamic clustering approach applying a context dependent dissimilarity measure. The method was applied to identify visitor groups of a b site in the educational domain and also to analyze the traces of different user behavior."}]