Abstract: Some embodiments provide a method for a document viewing application. While displaying a sequence of selectable items that each correspond to a different document in a sequence of documents, the method receives selection of an item corresponding to a particular document in the sequence. The method retrieves a first set of content for displaying at least a portion of the particular document. After the first set of content is retrieved and displayed, the method retrieves content for displaying documents surrounding the particular document in the sequence of documents such that the content is available if input is received to display one of the documents surrounding the particular document in the sequence.

Abstract: In some implementations, a user device can perform personalized translation of content identifiers. For example, the user device can request a content identifier mapping file from a server device that defines how to translate a human readable content identifier into a content server content identifier. The server device can select a mapping file from among a collection of mapping files based on various criteria associated with the user device and send the selected mapping file to the user device. When the user device receives a human readable content identifier, the user device can compare the human readable content identifier to the mapping file to determine how to translate the human readable content identifier into the content server content identifier. Once the content server content identifier corresponding to the human readable content identifier is determined, the client device can use the content server content identifier to obtain corresponding content.

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: In some implementations, a computing device can present a multi-language grouping of topics. For example, the computing device can determine a primary and secondary language for a user of the computing device. The computing device can request configuration that includes a tag language mapping that can be used to translate topic tags corresponding to the secondary language to topic tags corresponding to the primary language. When the computing device receives tagged content items associated with the secondary language, the computing device can translate the secondary language tags corresponding to the tagged content items into semantically equivalent topic tags in the primary language. The computing device can then group primary language content items and secondary language content items into multi-language groupings based on the topics corresponding to the translated content item tags. The computing device can then present the multi-language topic groupings of content items.

Abstract: In some implementations, a user device can perform personalized translation of content identifiers. For example, the user device can request a content identifier mapping file from a server device that defines how to translate a human readable content identifier into a content server content identifier. The server device can select a mapping file from among a collection of mapping files based on various criteria associated with the user device and send the selected mapping file to the user device. When the user device receives a human readable content identifier, the user device can compare the human readable content identifier to the mapping file to determine how to translate the human readable content identifier into the content server content identifier. Once the content server content identifier corresponding to the human readable content identifier is determined, the client device can use the content server content identifier to obtain corresponding content.

Abstract: In some implementations, a user device can perform personalized translation of content identifiers. For example, the user device can request a content identifier mapping file from a server device that defines how to translate a human readable content identifier into a content server content identifier. The server device can select a mapping file from among a collection of mapping files based on various criteria associated with the user device and send the selected mapping file to the user device. When the user device receives a human readable content identifier, the user device can compare the human readable content identifier to the mapping file to determine how to translate the human readable content identifier into the content server content identifier. Once the content server content identifier corresponding to the human readable content identifier is determined, the client device can use the content server content identifier to obtain corresponding content.

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 device can present a multi-language grouping of topics. For example, the computing device can determine a primary and secondary language for a user of the computing device. The computing device can request configuration that includes a tag language mapping that can be used to translate topic tags corresponding to the secondary language to topic tags corresponding to the primary language. When the computing device receives tagged content items associated with the secondary language, the computing device can translate the secondary language tags corresponding to the tagged content items into semantically equivalent topic tags in the primary language. The computing device can then group primary language content items and secondary language content items into multi-language groupings based on the topics corresponding to the translated content item tags. The computing device can then present the multi-language topic groupings of content items.

Abstract: In some implementations, a user device can perform personalized translation of content identifiers. For example, the user device can request a content identifier mapping file from a server device that defines how to translate a human readable content identifier into a content server content identifier. The server device can select a mapping file from among a collection of mapping files based on various criteria associated with the user device and send the selected mapping file to the user device. When the user device receives a human readable content identifier, the user device can compare the human readable content identifier to the mapping file to determine how to translate the human readable content identifier into the content server content identifier. Once the content server content identifier corresponding to the human readable content identifier is determined, the client device can use the content server content identifier to obtain corresponding content.

Abstract: Some embodiments of the invention provide a method that detects document attribute preferences for viewing documents (e.g., articles) on a device. The method displays several documents on a display screen of the device, with each document having one or more associated attributes. In some embodiments, different documents can be associated with the same attribute or the same number of attributes, or can be associated with different attributes or a different number of attributes. In some embodiments, the method detects viewer interactions with one or more displayed documents, and based on these interactions, computes attribute scores for several attributes associated with a number of the documents. The computed attribute scores identify a preference ranking for attributes associated with the documents. Some embodiments use the computed attribute scores to select subsequent documents for display on the device and/or to arrange the display of subsequent documents on the device.

Abstract: Some embodiments provide a document viewing application with first and second document channel browsing modes. The first mode displays selectable items corresponding to document channels. Selection of an item causes the application to add the corresponding document channel to a set of selected document channels from which to retrieve documents for presentation within the application and dynamically add items corresponding to document channels related to the selected document channel to the selectable items for display in the first mode. The second mode displays a first set of selectable items corresponding to sources of documents and a second set of selectable items corresponding to document topics. Selection of an item in the second browsing mode causes the application to add the corresponding document channel to the set of selected document channels and modify the selectable items presented in the second mode a next time the second mode is entered.

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: 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: 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: 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: 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: Some embodiments of the invention provide a method that detects document attribute preferences for viewing documents (e.g., articles) on a device. The method displays several documents on a display screen of the device, with each document having one or more associated attributes. In some embodiments, different documents can be associated with the same attribute or the same number of attributes, or can be associated with different attributes or a different number of attributes. In some embodiments, the method detects viewer interactions with one or more displayed documents, and based on these interactions, computes attribute scores for several attributes associated with a number of the documents. The computed attribute scores in some embodiments identify a preference ranking for attributes associated with the documents.

Abstract: Some embodiments of the invention provide a method that detects document attribute preferences for viewing documents (e.g., articles) on a device. The method displays several documents on a display screen of the device, with each document having one or more associated attributes. In some embodiments, different documents can be associated with the same attribute or the same number of attributes, or can be associated with different attributes or a different number of attributes. In some embodiments, the method detects viewer interactions with one or more displayed documents, and based on these interactions, computes attribute scores for several attributes associated with a number of the documents. The computed attribute scores in some embodiments identify a preference ranking for attributes associated with the documents.

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.