Techniques for delivering relevant news articles to users

    公开(公告)号:US11636501B2

    公开(公告)日:2023-04-25

    申请号:US15719004

    申请日:2017-09-28

    Applicant: Apple Inc.

    Abstract: The embodiments set forth techniques for delivering relevant news articles to users. The techniques can involve auditioning different categories of news articles (e.g., entertainment, sports, technology, etc.) to a user to create a pleasant onboarding experience that requires minimal user input. As time progresses, affinity information for the user is gathered from various sources (e.g., news readers, web browsers, third-party applications, etc.). The affinity information can be used to (1) suggest additional categories in which the user might be interested, and (2) increase the accuracy by which subsequent news articles are delivered to the user. Additionally, feedback information about the user's interaction with the subsequent news articles can then be obtained, and various metrics associated with these news articles can be updated to reflect the user's interaction. In turn, the various updated metrics can enable these news articles to be delivered to other users in a more accurate manner.

    Determining importance of investment identifier to content of content item

    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.

    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.

    Privacy Preserving Server-Side Personalized Content Selection

    公开(公告)号:US20220019689A1

    公开(公告)日:2022-01-20

    申请号:US17152125

    申请日:2021-01-19

    Applicant: Apple Inc.

    Abstract: In some implementations, a computing system can be configured to perform personalized content item selection in a privacy preserving manner. In some implementations, user privacy can be protected by performing the personalized selection of content items on the user's device. For example, the computing system can include a client device configured to select content items from a collection of candidate content items received from a server device based on a user profile generated and stored on the client device. In some implementations, user privacy can be protected when performing the personalized selection of content items by sending an anonymous, or approximate, user profile (e.g., class profile) to the server device. For example, the computing system can include a server device configured to select content items from a collection of content items based on a class profile representing a group of similar user profiles received from the client device.

    Arrangements of Documents In A Document Feed

    公开(公告)号:US20170357619A1

    公开(公告)日:2017-12-14

    申请号:US15274161

    申请日:2016-09-23

    Applicant: Apple Inc.

    Abstract: Some embodiments provide a GUI for a document reader application that displays an aggregated feed with sections for different groups of personalized documents. Some embodiments provide a method for arranging documents within the different sections and for ordering the different sections within the aggregated feed. In some embodiments, the groups are dynamically generated at a device based on content (e.g., tags) of the documents.

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