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Analyzing website content or attributes and predicting popularity

机译:分析网站内容或属性并预测受欢迎程度

摘要

A method to analyze and determine which source content and user interactions are most popular is provided. The method generates scores for items, e.g., articles, topics, authors, or influencers, on a particular source based on data gathered from both the particular source and social media sources. The scores are used to rank items of the same type, and determine which items are the most popular. The method may also take demographic information as input. Using the demographic information, the system may determine the popularity of a particular item in a particular demographic. The method may also predict which demographic an item may be the most popular in. Furthermore, the method may give a recommendation on which author should write on a particular topic, which topic is most likely to be the most popular for a particular demographic, and which influencers should promote the article.
机译:提供一种分析和确定哪些源内容和用户交互最流行的方法。该方法基于从特定来源和社交媒体来源两者收集的数据,为特定来源上的项目(例如,文章,主题,作者或影响者)生成分数。分数用于对相同类型的商品进行排名,并确定哪些商品最受欢迎。该方法还可以将人口统计信息作为输入。使用人口统计信息,系统可以确定特定项目在特定人口统计中的受欢迎程度。该方法还可以预测某项可能在哪个人口统计数据中最受欢迎。此外,该方法还可以建议哪个作者应该在某个特定主题上写,哪个主题对于特定人口统计最可能最受欢迎,以及哪些影响者应该宣传该文章。

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