Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  discuss the problem of ranking instances. In our framework, each instance is associated with a rank or a rating, which is an integer in 1 to k. Our goal is to find a rank-prediction rule that assigns each instance a rank that is as close as possible to the instance's true rank.  discuss a group of closely related online algorithms, analyze their performance in the mistake-bound model, and prove their correctness.  describe two sets of experiments, with synthetic data and with the EachMovie data set for collaborative filtering. In the experiments  performed, our algorithms outperform online algorithms for regression and classification applied to ranking.
['Koby Crammer', 'Yoram Singer']
I am writing a research paper on a idea Online Ranking by Projecting
[{"from": "human", "value": "I am writing a research paper on a idea Online Ranking by Projecting"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  discuss the problem of ranking instances. In our framework, each instance is associated with a rank or a rating, which is an integer in 1 to k. Our goal is to find a rank-prediction rule that assigns each instance a rank that is as close as possible to the instance's true rank.  discuss a group of closely related online algorithms, analyze their performance in the mistake-bound model, and prove their correctness.  describe two sets of experiments, with synthetic data and with the EachMovie data set for collaborative filtering. In the experiments  performed, our algorithms outperform online algorithms for regression and classification applied to ranking."}]