Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose and evaluate a self-optimization strategy for a clustering-based tag recommendation system. For tag recommendation,  use an efficient discriminative clustering approach. To develop our self-optimization strategy for this tag recommendation approach,  empirically investigate when and how to update the tag recommender with minimum human intervention.  present a nonlinear optimization model whose solution yields the clustering parameters that maximize the recommendation accuracy within an administrator specified time window. Evaluation on ``BibSonomy'' data produces promising results. For example, by using our self-optimization strategy a 6\% increase in average F1 score is achieved when the administrator allows \emph{up to} 2\% drop in average F1 score in the last one thousand recommendations.
['Malik Tahir Hassan', 'Asim Karim', 'Fahad Javed', 'Naveed Arshad']
I am writing a research paper on a idea Self-Optimizing a Clustering-based Tag Recommender for Social Bookmarking Systems
[{"from": "human", "value": "I am writing a research paper on a idea Self-Optimizing a Clustering-based Tag Recommender for Social Bookmarking Systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose and evaluate a self-optimization strategy for a clustering-based tag recommendation system. For tag recommendation,  use an efficient discriminative clustering approach. To develop our self-optimization strategy for this tag recommendation approach,  empirically investigate when and how to update the tag recommender with minimum human intervention.  present a nonlinear optimization model whose solution yields the clustering parameters that maximize the recommendation accuracy within an administrator specified time window. Evaluation on ``BibSonomy'' data produces promising results. For example, by using our self-optimization strategy a 6\\% increase in average F1 score is achieved when the administrator allows \\emph{up to} 2\\% drop in average F1 score in the last one thousand recommendations."}]