公开(公告)号：US20160125314A1

公开(公告)日：2016-05-05

申请号：US14528422

申请日：2014-10-30

Applicant: Yahoo! Inc.

Inventor： Ramkartik Mulukutla ,  Tejal Parulekar ,  Sreenivasulu Jaladanki

IPC: G06N99/00 ,  G06Q30/02

CPC classification number: G06Q30/0277

Abstract: Provided herein is a system or method for a native advertisement selection and formatting module operable to monitor displayable content and store characteristic-related information relating to the monitored content, including keyword-related information and format-related information, utilize one or more machine learning-based algorithms, analyze the characteristic-related information relating to the monitored content, including the keyword-related information and the format-related information, and based in part on the analysis, output detailed contextual settings, and select and format native advertisements to be displayed in visual association with the displayable content, based in part on the detailed contextual settings.

Abstract translation: 本文提供了一种用于本地广告选择和格式化模块的系统或方法，其可操作以监视可显示内容并存储与所监视内容相关的特征相关信息，包括关键字相关信息和格式相关信息，利用一个或多个机器学习 - 分析与监视内容相关的特征相关信息，包括关键字相关信息和格式相关信息，部分基于分析，输出详细上下文设置，并选择和格式化要显示的本机广告 与可显示内容的视觉关联，部分基于详细的上下文设置。