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专利名称：Analyzing website content or attributes and
predicting popularity
发明人：Richard Morris,Xinchuan Zeng,David
Elkington,Kenneth Krogue
申请号：US13840424申请日：20130315公开号：US091229B1公开日：20150901
专利附图：
摘要：A method to analyze and determine which source content and user interactionsare 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 boththe particular source and social media sources. The scores are used to rank items of thesame type, and determine which items are the most popular. The method may also takedemographic information as input. Using the demographic information, the system maydetermine the popularity of a particular item in a particular demographic. The methodmay 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 particulartopic, which topic is most likely to be the most popular for a particular demographic, andwhich influencers should promote the article.
申请人：InsideSales.com
地址：Provo UT US
国籍：US
代理机构：Hickman Palermo Becker Bingham LLP
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