发明名称 Analyzing website content or attributes and predicting popularity
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.
申请公布号 US9122989(B1) 申请公布日期 2015.09.01
申请号 US201313840424 申请日期 2013.03.15
申请人 InsideSales.com 发明人 Morris Richard;Zeng Xinchuan;Elkington David;Krogue Kenneth
分类号 G06N5/00;G06F7/00;G06N5/02 主分类号 G06N5/00
代理机构 Hickman Palermo Becker Bingham LLP 代理人 Hickman Palermo Becker Bingham LLP
主权项 1. A method comprising: computing a first score for a first item that indicates popularity of the first item across all demographics; computing a second score for a second item that indicates popularity of the second item across all demographics; wherein the first item and the second item are a same item type; computing a first impact score that indicates how popular the first item is for a particular demographic relative to other demographics; computing a second impact score that indicates how popular the second item is for the particular demographic relative to other demographics; computing a first demographic-specific popularity score for the first item based, at least in part, on the first score and the first impact score; computing a second demographic-specific popularity score for the second item based, at least in part, on the second score and the second impact score; and predicting that the particular demographic has a higher interest in the first item than in the second item based on the first demographic-specific popularity score being greater than the second demographic-specific popularity score; wherein the method is performed by one or more computing devices.
地址 Provo UT US