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机译:基于投票的有益效力测量的校准在线评论:迭代贝叶斯概率方法
Research Center for Contemporary Management School of Economics and Management Tsinghua University Beijing 100084 China;
Research Center for Contemporary Management School of Economics and Management Tsinghua University Beijing 100084 China;
Guanghua School of Management Peking University Beijing 100871 China School of Economics and Management Tsinghua University Beijing 100084 China;
Research Center for Contemporary Management School of Economics and Management Tsinghua University Beijing 100084 China;
Research Center for Contemporary Management School of Economics and Management Tsinghua University Beijing 100084 China;
online reviews; helpfulness prediction; social voting; Bayesian probability; iterative estimation; predictive analytics;
机译:评估在线产品评论的内容质量和帮助:评论帮助与评论内容之间的相互作用
机译:在线消费者评论的帮助:一种多视角方法
机译:评估在线酒店评论的有用性:一种基于分类的方法
机译:一种确定在线评论有用性决定因素并预测产品类别中有用性得分的新颖方法
机译:预测产品评论的乐于助人:句子分类方法
机译:有关在线产品评论的乐于助人预测的功能选择:一个实证研究
机译:时间相关因素在在线评论的乐于助人中的适度效果:深度学习方法
机译:通过贝叶斯零膨胀Beta混合模型进行碰撞测量概率的趋势。