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首页> 外文会议>IEEE International Conference on Computational Intelligence and Computing Research >Domain expert ranking for finding domain authoritative users on community question answering sites
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Domain expert ranking for finding domain authoritative users on community question answering sites

机译：在社区问题解答站点上查找域权威用户的域专家排名

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Identification of experts is an important task in Community Question Answering (CQA) because many operations in CQA depend on the experts. In most of the CQA the expert identification techniques are very poor. The problem we identified is questions suggested by the cQa to the users who are identified as experts are not interested to answer by the identified experts. Also with current expert identification the experts are not identified in all domains. To tackle these problems, we propose a model Domain Expert Ranking (DER) which identifies the experts based on commonly available parameters in CQA. Experiments carried over on a question answering site Quora, shows that our model achieves considerable improvement over existing expert identification methods on multiple metrics.
机译：在社区问题解答（CQA）中，鉴定专家是一项重要任务，因为CQA中的许多操作都依赖于专家。在大多数CQA中，专家识别技术非常差。我们确定的问题是cQa向被确定为专家的用户提出的问题，这些用户不希望被确定的专家回答。同样，根据当前的专家身份，并非在所有领域都可以识别专家。为了解决这些问题，我们提出了领域专家排名（DER）模型，该模型根据CQA中常用的参数来识别专家。在问答网站Quora上进行的实验表明，相对于现有的针对多个指标的专家识别方法，我们的模型取得了显着改进。

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