Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  focuses on analyzing and predicting not-ansred questions in Community based Question Ansring (CQA) services, such as Yahoo! Ansrs. In CQA, users express their information needs by submitting questions and await ansrs from other users. One of the key problems of this pattern is that sometimes no one helps to give ansrs. ,  analyze the not-ansred questions and give a first try of predicting whether questions will receive ansrs. More specifically,  first analyze the questions of Yahoo! Ansrs based on the features selected from different perspectives. Then,  formalize the prediction problem as supervised learning task and leverage the proposed features to make predictions. Extensive experiments are made on 76,251 questions collected from Yahoo! Ansrs.
['Lichun Yang', 'Shenghua Bao', 'Qingliang Lin', 'Xian Wu', 'Dingyi Han', 'Zhong Su', 'Yong Yu']
I am writing a research paper on a idea Analyzing and predicting not-answered questions in community-based question answering services
[{"from": "human", "value": "I am writing a research paper on a idea Analyzing and predicting not-answered questions in community-based question answering services"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  focuses on analyzing and predicting not-ansred questions in Community based Question Ansring (CQA) services, such as Yahoo! Ansrs. In CQA, users express their information needs by submitting questions and await ansrs from other users. One of the key problems of this pattern is that sometimes no one helps to give ansrs. ,  analyze the not-ansred questions and give a first try of predicting whether questions will receive ansrs. More specifically,  first analyze the questions of Yahoo! Ansrs based on the features selected from different perspectives. Then,  formalize the prediction problem as supervised learning task and leverage the proposed features to make predictions. Extensive experiments are made on 76,251 questions collected from Yahoo! Ansrs."}]