Abstract: Disclosed herein are system, method, and computer program product embodiments for providing a developer console to customizable live applications in a cloud collaboration platform. The developer console may support the software development lifecycle for third-party live applications deployed in the cloud collaboration platform in a myriad of fashions. The developer console may vet live applications prior to deployment, provide release and version control mechanisms, and offer a range of configuration options to control third-party live applications. The developer console may provide an initial bundle to developers that include supporting functions and modules enabling the developer to run a development environment on a local server as a local platform. A developer console may allow developers to configure access to third-party data sources that may be harnessed by a live application.

Abstract: Disclosed herein are system, method, and computer program product embodiments for improving user experiences within a cloud collaboration platform that integrates communication tools with word processor functions to enhance workflows, save time, and promote teamwork in the development of slide presentations. To improve usability, a cloud collaboration platform may furnish a reader mode to streamline the presentation review process. The reader mode may allow viewers to review the presentation as the presentation will eventually be presented to an audience. The viewers may provide comments and feedback on the presentation without being inundated with comments and metadata added to an edit mode of the presentation by the original authors.

Abstract: Structured data sets including one or more attributes are identified, each structured data set associated with, for example, a particular user. Values corresponding the at least one of the one or more attributes in each structured data set are identified. A condition established by a content provider, for instance, an advertiser, is compared to the identified values to determine if the condition is satisfied. When the condition is satisfied, one or more content items are identified to the users associated with the structured data sets containing identified values satisfying the condition.

Abstract: Structured data sets including one or more attributes are identified, each structured data set associated with, for example, a particular user. Values corresponding the at least one of the one or more attributes in each structured data set are identified. A condition established by a content provider, for instance, an advertiser, is compared to the identified values to determine if the condition is satisfied. When the condition is satisfied, one or more content items are identified to the users associated with the structured data sets containing identified values satisfying the condition.

Abstract: A method is provided. The method includes receiving a request for one or more ads, the request including a first identifier for a first content source, wherein a first set of content is available from the first content source, responsive to the request, determining whether a second set of content is available from a second content source, wherein the second set of content is a structured content version of the first set of content, converting the first identifier for the first content source to a second identifier for the second content source if the second set of content is available from the second content source, receiving the second set of content from the second content source using the second identifier, and selecting the one or more ads using at least some content from the second set of content from the second content source.

Abstract: The subject matter of this document generally relates to reducing noise in aggregated data using frequency analysis. In some implementations, a system for reducing data noise using frequency analysis includes a data storage device that stores content and a network association processor in data communication with the data storage device. The network association processor aggregates, for a given group, content of one or more additional groups that each have overlapping members with the given group. The network association processor reduces noise in the aggregated content of the one or more additional groups using frequency analysis by determining, for each portion of content in the aggregated content, a frequency of occurrence of the portion of content within the aggregated content and filtering, from the aggregated content, each portion of content that has a frequency of occurrence that is less than a threshold.

Abstract: The disclosed embodiments relate to a system that facilitates accessing audio files associated with a user from an online content management system. During operation, the online content management system receives a function call from a client to list audio files associated with the user. In response to the function call, the system filters through operations for files associated with the user to identify audio files. Next, the system returns metadata for the identified audio files associated with the user to the client. In some embodiments, filtering through the operations involves filtering an operation log to identify operations performed on audio files associated with the user, wherein the operations occurred since a preceding call to the function.

Abstract: Structured data sets including one or more attributes are identified, each structured data set associated with, for example, a particular user. Values corresponding the at least one of the one or more attributes in each structured data set are identified. A condition established by a content provider, for instance, an advertiser, is compared to the identified values to determine if the condition is satisfied. When the condition is satisfied, one or more content items are identified to the users associated with the structured data sets containing identified values satisfying the condition.

Abstract: Open profile data in a user profile, e.g., free-form fields in a user profile, are processed to identify interests and preferences of the user. The interests and preferences are utilized to identify categories associated with the user profile, and content items, e.g., advertisements, can be identified based on the categories.

Abstract: A custodian profile, e.g., a user profile, associated with a first content item, e.g., an associated web page in a social network, can be identified as a first content item. The first content item can be utilized to identify one or more second content items, e.g., advertisements, that are displayed when the first content item is presented, e.g., viewed by another user of the social network.

Abstract: Open profile data in a user profile, e.g., free-form fields in a user profile, are processed to identify interests and preferences of the user. The interests and preferences are utilized to identify categories associated with the user profile, and content items, e.g., advertisements, can be identified based on the categories.

Abstract: Open profile data in a user profile, e.g., free-form fields in a user profile, are processed to identify interests and preferences of the user. The interests and preferences are utilized to identify categories associated with the user profile, and content items, e.g., advertisements, can be identified based on the categories.

Abstract: Structured data sets including one or more attributes are identified, each structured data set associated with, for example, a particular user. Values corresponding the at least one of the one or more attributes in each structured data set are identified. A condition established by a content provider, for instance, an advertiser, is compared to the identified values to determine if the condition is satisfied. When the condition is satisfied, one or more content items are identified to the users associated with the structured data sets containing identified values satisfying the condition.

Abstract: Open profile data in a user profile, e.g., free-form fields in a user profile, are processed to identify interests and preferences of the user. The interests and preferences are utilized to identify categories associated with the user profile, and content items, e.g., advertisements, can be identified based on the categories.

Abstract: An entity relationship defining an entity, e.g., a friendship relation in a social network, user groups, etc., can be identified and entity content based on the entity relationship, e.g., user profile data of user accounts, group memberships, etc., can be processed to identify entity topics. One or more content items, e.g., advertisements, can be identified based on the entity topics.

Abstract: A custodian profile, e.g., a user profile, associated with a first content item, e.g., an associated web page in a social network, can be identified as a first content item. The first content item can be utilized to identify one or more second content items, e.g., advertisements, that are displayed when the first content item is presented, e.g., viewed by another user of the social network.