Abstract: Some embodiments provide a GUI for a document reader application that displays a selectable representation of content that, when selected, cause the content to be displayed in the GUI. GUI controls may be exposed in response to a user input slide operation on the selectable representation of content.

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.

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.

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.

Abstract: Some embodiments provide a GUI for a document reader application that displays a selectable representation of content that, when selected, cause the content to be displayed in the GUI. GUI controls may be exposed in response to a user input slide operation on the selectable representation of content.

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.

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.

Abstract: In some implementations, a computing system can deliver personalized content while preserving user privacy. For example, the computing system can include a content server that filters, deduplicates, and generates clusters of content items (e.g., articles, news stories, etc.) that are relevant to an investment identifier received in a request from a client device. The content server can send the clusters of content items to the requesting client. Upon receiving the clusters of content items, requesting client device can evaluate the content items based on user preferences stored on the user device and select a representative content item from one or more content item clusters. The selected content item can then be presented on a display of the user device. Thus, personalization of content item selection and presentation can be performed without distributing user preference data outside of the user device thereby preserving user privacy.

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.

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.