公开(公告)号：US20160357843A1

公开(公告)日：2016-12-08

申请号：US14871489

申请日：2015-09-30

Applicant: Apple Inc.

Inventor： Martin J. Murrett ,  Ian J. Elseth ,  Guillermo Ortiz ,  Ravi Chandra Jammalamadaka ,  Dominic J. Hughes ,  Steve E. Marmon ,  Casey M. Dougherty ,  Gregory C. Langmead ,  Mark A. Gingrich ,  Donald R. Beaver ,  Amogh Mahapatra ,  Collin D. Ruffenach ,  Georgios Sofianatos ,  Justin W. Sung ,  Kang Tu ,  Jason A. Novak

IPC: G06F17/30 ,  H04L29/08

CPC classification number: G06F17/30598 ,  G06F17/30507 ,  G06F17/3053 ,  G06F17/30699 ,  G06F17/30867 ,  G06F21/6245 ,  H04L67/02 ,  H04L67/06

Abstract: Aspects of the present disclosure involve a mobile or computer reader application that obtains articles or other computer files from a central database and displays the articles to a user of the device. The reader application may be customizable around one or more characteristics of the user of the device. In one embodiment, the type and number of articles provided to the device and displayed in the reader application may be based on the determination of a category or type of usage of the application is performed by the user. Further, the determination of the use of the reader application on the device is performed by and contained within the device such that usage information is not shared with overall article providing system. In another embodiment, the article providing system and/or device may determine recommendations to provide to a user of the reading application. These recommendations may be based on one or more selected interests or topics of the user of the reading application.

Abstract translation: 本公开的方面涉及从中央数据库获取文章或其他计算机文件并将文章显示给设备的用户的移动或计算机阅读器应用。 读取器应用可以围绕设备的用户的一个或多个特性来定制。 在一个实施例中，提供给设备并在读取器应用中显示的物品的类型和数量可以基于用户执行的应用的类别或使用类型的确定。 此外，读取器应用在设备上的使用的确定由设备执行并包含在设备内，使得使用信息不与整个商品提供系统共享。 在另一个实施例中，物品提供系统和/或设备可以确定向用户提供阅读应用的建议。 这些建议可以基于阅读应用的用户的一个或多个所选兴趣或主题。

公开(公告)号：US10268747B2

公开(公告)日：2019-04-23

申请号：US14871436

申请日：2015-09-30

Applicant: Apple Inc.

Inventor： Martin J. Murrett ,  Ian J. Elseth ,  Guillermo Ortiz ,  Ravi Chandra Jammalamadaka ,  Dominic J. Hughes ,  Steve E. Marmon ,  Casey M. Dougherty ,  Gregory C. Langmead ,  Mark A. Gingrich ,  Donald R. Beaver ,  Amogh Mahapatra ,  Collin D. Ruffenach ,  Georgios Sofianatos ,  Justin W. Sung ,  Kang Tu ,  Jason A. Novak

IPC: G06F17/00 ,  G06F17/30 ,  H04L29/08 ,  G06F21/62

Abstract: Aspects of the present disclosure involve a mobile or computer reader application that obtains articles or other computer files from a central database and displays the articles to a user of the device. The reader application may be customizable around one or more characteristics of the user of the device. In one embodiment, the type and number of articles provided to the device and displayed in the reader application may be based on the determination of a category or type of usage of the application is performed by the user. Further, the determination of the use of the reader application on the device is performed by and contained within the device such that usage information is not shared with overall article providing system. In another embodiment, the article providing system and/or device may determine recommendations to provide to a user of the reading application. These recommendations may be based on one or more selected interests or topics of the user of the reading application.

公开(公告)号：US20160357820A1

公开(公告)日：2016-12-08

申请号：US14871436

申请日：2015-09-30

Applicant: Apple Inc.

Inventor： Martin J. Murrett ,  Ian J. Elseth ,  Guillermo Ortiz ,  Ravi Chandra Jammalamadaka ,  Dominic J. Hughes ,  Steve E. Marmon ,  Casey M. Dougherty ,  Gregory C. Langmead ,  Mark A. Gingrich ,  Donald R. Beaver ,  Amogh Mahapatra ,  Collin D. Ruffenach ,  Georgios Sofianatos ,  Justin W. Sung ,  Kang Tu ,  Jason A. Novak

IPC: G06F17/30 ,  G06F21/62

CPC classification number: G06F17/30598 ,  G06F17/30507 ,  G06F17/3053 ,  G06F17/30699 ,  G06F17/30867 ,  G06F21/6245 ,  H04L67/02 ,  H04L67/06

Abstract: Aspects of the present disclosure involve a mobile or computer reader application that obtains articles or other computer files from a central database and displays the articles to a user of the device. The reader application may be customizable around one or more characteristics of the user of the device. In one embodiment, the type and number of articles provided to the device and displayed in the reader application may be based on the determination of a category or type of usage of the application is performed by the user. Further, the determination of the use of the reader application on the device is performed by and contained within the device such that usage information is not shared with overall article providing system. In another embodiment, the article providing system and/or device may determine recommendations to provide to a user of the reading application. These recommendations may be based on one or more selected interests or topics of the user of the reading application.

公开(公告)号：US20160357753A1

公开(公告)日：2016-12-08

申请号：US14871620

申请日：2015-09-30

Applicant: Apple Inc.

Inventor： Donald R. Beaver ,  Georgios Sofianatos ,  Kang Tu ,  Amogh Mahapatra ,  Mark A. Gingrich ,  Pushkaraj Bhirud ,  Dominic J. Hughes ,  Justin W. Sung ,  Ravi Chandra Jammalamadaka ,  Martin J. Murrett

IPC: G06F17/30

CPC classification number: G06F17/3053 ,  G06F17/30867

Abstract: Aspects of the present disclosure involve a mobile or computer reader application that obtains articles or other computer files from a central database and displays the articles to a user of the device. In addition to providing the articles to the reader application, an article providing system may also determine the quality or popularity of particular articles and provide the most popular articles to users of the system. In one embodiment, the system may receive one or more anonymous interaction metrics from one or more devices connected to the system. The anonymous interaction metrics may be associated with a particular article and provide some indication of a user's engagement with the article. The system utilizes these interaction metrics or measurements to set or adjust a score or ranking associated with the particular article. The score may then be utilized by the system to rank the article in relation to other articles available through the system to provide the most popular or highest ranked articles to users of the system.

Abstract translation: 本公开的方面涉及从中央数据库获取文章或其他计算机文件并将文章显示给设备的用户的移动或计算机阅读器应用。 除了将文章提供给读者应用之外，文章提供系统还可以确定特定文章的质量或流行度，并向系统的用户提供最受欢迎的文章。 在一个实施例中，系统可以从连接到系统的一个或多个设备接收一个或多个匿名交互度量。 匿名交互度量可以与特定文章相关联并且提供用户与文章的参与的一些指示。 系统利用这些交互指标或测量来设置或调整与特定物品相关联的得分或排名。 然后系统可以利用该分数来对文章进行排序，以便通过系统可获得的其他文章来为系统的用户提供最流行或最高排名的文章。

公开(公告)号：US11281735B2

公开(公告)日：2022-03-22

申请号：US16708886

申请日：2019-12-10

Applicant: Apple Inc.

Inventor： Dominic J. Hughes ,  Anil A. Sewani ,  Chi Wai Lau ,  Amogh Mahapatra ,  Gurumurthy D. Ramkumar

IPC: G06F16/30 ,  G06F16/9535 ,  G06F16/9032 ,  G06N20/00 ,  G06F17/18 ,  G06F21/62 ,  G06Q40/00

Abstract: In some implementations, a computing system can determine how important an investment identifier is to a content item that mentions the investment identifier. For example, a content item may describe a story, event, etc., related to an investment identifier. The content item may mention the investment identifier by mentioning the investment identifier, proxies for the investment identifier, or other equivalents associated with the investment identifier. The computing system can determine locations in the content item where the investment identifier is mentioned and/or how frequently the investment identifier is mentioned. Based on the locations and/or frequency of mentions, the computing system can determine an importance score that represents how important the investment identifier is to the story described by the content item. The importance score can be stored in metadata for the content item and used when determining which content items to present to a user.

公开(公告)号：US10268748B2

公开(公告)日：2019-04-23

申请号：US14871489

申请日：2015-09-30

Applicant: Apple Inc.

Inventor： Martin J. Murrett ,  Ian J. Elseth ,  Guillermo Ortiz ,  Ravi Chandra Jammalamadaka ,  Dominic J. Hughes ,  Steve E. Marmon ,  Casey M. Dougherty ,  Gregory C. Langmead ,  Mark A. Gingrich ,  Donald R. Beaver ,  Amogh Mahapatra ,  Collin D. Ruffenach ,  Georgios Sofianatos ,  Justin W. Sung ,  Kang Tu ,  Jason A. Novak

IPC: G06F17/30 ,  H04L29/08 ,  G06F21/62

Abstract: Aspects of the present disclosure involve a mobile or computer reader application that obtains articles or other computer files from a central database and displays the articles to a user of the device. The reader application may be customizable around one or more characteristics of the user of the device. In one embodiment, the type and number of articles provided to the device and displayed in the reader application may be based on the determination of a category or type of usage of the application is performed by the user. Further, the determination of the use of the reader application on the device is performed by and contained within the device such that usage information is not shared with overall article providing system. In another embodiment, the article providing system and/or device may determine recommendations to provide to a user of the reading application. These recommendations may be based on one or more selected interests or topics of the user of the reading application.

公开(公告)号：US10162864B2

公开(公告)日：2018-12-25

申请号：US14871620

申请日：2015-09-30

Applicant: Apple Inc.

Inventor： Donald R. Beaver ,  Georgios Sofianatos ,  Kang Tu ,  Amogh Mahapatra ,  Mark A. Gingrich ,  Pushkaraj Bhirud ,  Dominic J. Hughes ,  Justin W. Sung ,  Ravi Chandra Jammalamadaka ,  Martin J. Murrett

IPC: G06F17/30

Abstract: Aspects of the present disclosure involve a mobile or computer reader application that obtains articles or other computer files from a central database and displays the articles to a user of the device. In addition to providing the articles to the reader application, an article providing system may also determine the quality or popularity of particular articles and provide the most popular articles to users of the system. In one embodiment, the system may receive one or more anonymous interaction metrics from one or more devices connected to the system. The anonymous interaction metrics may be associated with a particular article and provide some indication of a user's engagement with the article. The system utilizes these interaction metrics or measurements to set or adjust a score or ranking associated with the particular article. The score may then be utilized by the system to rank the article in relation to other articles available through the system to provide the most popular or highest ranked articles to users of the system.