Robotics & Machine Learning Daily News2024,Issue(Jun.18) :184-188.

Patent Issued for Systems and methods for visualizing digital content (USPTO 119 97154)

用于可视化数字内容的系统和方法的专利(USPTO 119 97154)

Robotics & Machine Learning Daily News2024,Issue(Jun.18) :184-188.

Patent Issued for Systems and methods for visualizing digital content (USPTO 119 97154)

用于可视化数字内容的系统和方法的专利(USPTO 119 97154)

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摘要

由一名新闻记者-机器人与机器学习每日新闻-Zive Inc.的工作人员新闻编辑撰写。根据NewsRx编辑在弗吉尼亚州亚历山大市的新闻报道,(康涅狄格州斯坦福德,Unit Ed States)已经获得专利号11997154.专利的发明人是Ivarsson、Pall(美国加利福尼亚州曼哈顿海滩)、Shashoua、Eric(美国加利福尼亚州斯坦福德)、Shetley、Ryan(Cape Girardeau,密苏里州)、Zmieiev、Anton(Reshetylivka,UA)。该专利于2020年11月9日提交,于20日24日5月28日在线发布。根据本发明人提供的背景信息,新闻记者引用了以下一句话:“每一家拥有电子邮件产品的顶级科技公司仅以公开收购的形式就花费了数亿美元,以创建新的用户界面方法,只向用户提供与用户最相关的电子邮件参考列表。这还不包括大量的成本和努力。”这些公司的内部努力。多年来的创新和功能已经应用于单一的GOA L,即为用户提供更少的与他们相关的电子邮件,并过滤掉那些不太相关的电子邮件。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Zive Inc. (Stamford, Connecticut, Unit ed States) has been issued patent number 11997154, according to news reporting o riginating out of Alexandria, Virginia, by NewsRx editors. The patent's inventors are Ivarsson, Pall (Manhattan Beach, CA, US), Shashoua, E ric (Stamford, CA, US), Shetley, Ryan (Cape Girardeau, MO, US), Zmieiev, Anton ( Reshetylivka, UA). This patent was filed on November 9, 2020 and was published online on May 28, 20 24. From the background information supplied by the inventors, news correspondents o btained the following quote: "Hundreds of millions of dollars have been spent in the form of public acquisitions alone by each of the top tech companies with em ail products to create new user interface methods of serving the user with a ref ined list of only those emails that are the most relevant to the user. This does not include the extensive cost and effort of these companies' internal efforts. Innovations and features over many years have been applied towards a single goa l, which is to serve users with a smaller set of emails that are more relevant t o them, and filter out those that are less so.

Key words

Artificial Intelligence/Business/Emerg ing Technologies/Machine Learning/Zive Inc

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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