Exploiting user profile information for answer ranking in cQA

  title={Exploiting user profile information for answer ranking in cQA},
  author={Zhi-Min Zhou and Man Lan and Zheng-Yu Niu and Yue Lu},
Answer ranking is very important for cQA services due to the high variance in the quality of answers. Most existing works in this area focus on using various features or employing machine learning techniques to address this problem. Only a few of them noticed and involved user profile information in this particular task. In this work, we assume the close relationship between user profile information and the quality of their answers under the ground truth that user information records the user… CONTINUE READING
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