社交问答系统中问题写作风格的改变对内容流行度的影响
Modification of Question Writing Style Influences Content Popularity in a Social Q&A System
摘要：
TurboTax QuestionerXchange是一个社交问答系统，支持联邦和州纳税申报表的用户。使用2015年的数据，我们证明了内容流行度（或每个QuestionerXchange问题的浏览量）可以根据问题的属性进行合理的准确预测。我们还采用概率主题分析和提升建模来识别对流行度影响最大的问题特征。我们表明，内容的流行程度是由用户的行为属性驱动的，并取决于搜索排名算法，心理语言因素和问题的写作风格之间的复杂的相互作用。我们的研究结果提供了一个合理的使用流行度预测，以指导用户制定更好的问题和编辑现有的。例如，以问题词开始问题标题或向问题添加详细信息可增加每个问题的查看次数。类似的方法可以应用于推广由Google索引的Google Xchange内容，以推动TurboTax的有机流量。
英文摘要：
TurboTax AnswerXchange is a social Q&A system supporting users working on federal and state tax returns. Using 2015 data, we demonstrate that content popularity (or number of views per AnswerXchange question) can be predicted with reasonable accuracy based on attributes of the question alone. We also employ probabilistic topic analysis and uplift modeling to identify question features with the highest impact on popularity. We demonstrate that content popularity is driven by behavioral attributes of AnswerXchange users and depends on complex interactions between search ranking algorithms, psycholinguistic factors and question writing style. Our findings provide a rationale for employing popularity predictions to guide the users into formulating better questions and editing the existing ones. For example, starting question title with a question word or adding details to the question increase number of views per question. Similar approach can be applied to promoting AnswerXchange content indexed by Google to drive organic traffic to TurboTax.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
