Invention Grant
- Patent Title: Analyzing website content or attributes and predicting popularity
- Patent Title (中): 分析网站内容或属性,预测人气
-
Application No.: US13840424Application Date: 2013-03-15
-
Publication No.: US09122989B1Publication Date: 2015-09-01
- Inventor: Richard Morris , Xinchuan Zeng , David Elkington , Kenneth Krogue
- Applicant: InsideSales.com
- Applicant Address: US UT Provo
- Assignee: InsideSales.com
- Current Assignee: InsideSales.com
- Current Assignee Address: US UT Provo
- Agency: Hickman Palermo Becker Bingham LLP
- Main IPC: G06N5/00
- IPC: G06N5/00 ; G06F7/00 ; G06N5/02

Abstract:
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.
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06N | 基于特定计算模型的计算机系统 |
G06N5/00 | 利用基于知识的模式的计算机系统 |