Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a probabilistic method for classifying folksonomy users to folksonomy sub-domains and identifying their particular interests. In particular,  propose a method for mining topic hierarchies that may reveal either the collective or the user-specific conceptualization of those domains, as these are reflected by users' tags.  then propose two alternatives for identifying users' interests in the domains: The first exploits users' tags directly, and the second exploits users' specific conceptualizations of each domain. Both approaches use the collective domain conceptualizations as "reference", to which users' tags and conceptualizations are compared. The proposed statistical method is parametric-less and does not require any prior knowledge or external resources.  apply the proposed method on the Del.icio.us online bookmarking system and  provide experimental results.
['Elias Zavitsanos', 'George A. Vouros', 'Georgios Paliouras']
I am writing a research paper on a idea Classifying users and identifying user interests in folksonomies
[{"from": "human", "value": "I am writing a research paper on a idea Classifying users and identifying user interests in folksonomies"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a probabilistic method for classifying folksonomy users to folksonomy sub-domains and identifying their particular interests. In particular,  propose a method for mining topic hierarchies that may reveal either the collective or the user-specific conceptualization of those domains, as these are reflected by users' tags.  then propose two alternatives for identifying users' interests in the domains: The first exploits users' tags directly, and the second exploits users' specific conceptualizations of each domain. Both approaches use the collective domain conceptualizations as \"reference\", to which users' tags and conceptualizations are compared. The proposed statistical method is parametric-less and does not require any prior knowledge or external resources.  apply the proposed method on the Del.icio.us online bookmarking system and  provide experimental results."}]