Abstract: A computer-implemented system including a data store: a content items database, a user account database, and one or more servers configured to execute a computer program to perform one or more of the following: receiving content items from content database that are associated with a topic selected by a user for posting on a social network, wherein at least one content item is associated with an URL; estimating a post to a reaction filter for a time interval for the social network for the user, calculating a reaction profile associated with reactions to posts on the social network by aggregating reaction time of a plurality of users on the social network for one or more content items posted on the social network; determining a schedule for posting the content items on the social network as a function of the post to reaction filter and reaction profile.

Abstract: A computer-implemented system including a data store: a content items database, a user account database, and one or more servers configured to execute a computer program to perform one or more of the following: receiving content items from content database that are associated with a topic selected by a user for posting on a social network, wherein at least one content item is associated with an URL; estimating a post to a reaction filter for a time interval for the social network for the user, calculating a reaction profile associated with reactions to posts on the social network by aggregating reaction time of a plurality of users on the social network for one or more content items posted on the social network; determining a schedule for posting the content items on the social network as a function of the post to reaction filter and reaction profile.

Abstract: A computer-implemented system including a data store: a content items database, a user account database, and one or more servers configured to execute a computer program to perform one or more of the following: receiving content items from content database that are associated with a topic selected by a user for posting on a social network, wherein at least one content item is associated with an URL; estimating a post to a reaction filter for a time interval for the social network for the user, calculating a reaction profile associated with reactions to posts on the social network by aggregating reaction time of a plurality of users on the social network for one or more content items posted on the social network; determining a schedule for posting the content items on the social network as a function of the post to reaction filter and reaction profile.

Abstract: A computer-implemented system is disclosed for providing a platform for managing a campaign for publishing data content on social networks to increase audience member reaction to the data content.

Abstract: A computer-implemented system is disclosed for providing a platform for managing a campaign for publishing data content on social networks to increase audience member reaction to the data content.

Abstract: A method is disclosed of providing a providing a content discovery platform for optimizing social network engagements. The method is implemented in one or more servers programmed to execute the method. The method comprising retrieving social media data from registered users on one or more social networks, wherein the social media data includes one or more URLs associated with one or more articles, respectively, computing a social importance score for each URL of the one or more URLs, and ranking the one or more URLs by social importance score.

Abstract: A method is disclosed of providing a providing a content discovery platform for optimizing social network engagements. The method is implemented in one or more servers programmed to execute the method. The method comprising retrieving social media data from registered users on one or more social networks, wherein the social media data includes one or more URLs associated with one or more articles, respectively, computing a social importance score for each URL of the one or more URLs, and ranking the one or more URLs by social importance score.

Abstract: The system relates to a system and apparatus for a scalable engineering system deployed in production that mines topical interests from multiple social networks and assigns over tens of thousands of topics to hundreds of millions of users on a daily basis. The system extracts and analyzes features for topic inference that extend beyond authored text. The system uses a diverse set of features and cross network information can lead to a better understanding of a user's interests. This system focuses on assigning topics for a user that other users can socially recognize and acknowledge.

Abstract: The system relates to a system and apparatus for an application agnostic user search engine. The system searches and retrieves users that best match a query of specified criteria. The framework is built to simultaneously support multiple applications with vastly different optimization criteria. The system may be pluggable into different commodity frameworks.

Abstract: The techniques, methods and systems described herein facilitate the automated discovery and presentation of content created, published or otherwise made public by “experts” and key influencers on particular topics. As such, users that may be interested in particular topics but may not know who to connect with in order to receive the most pertinent information can receive highly-relevant information. Embodiments of the invention use topics of interest identified by the user and/or automatically identifies topics based on previous postings, communication, contacts, etc. Individuals, companies, organizations and other entities that have been recognized as highly influential in those topics are identified and, without explicit actions by the user, adds content generated by the influential entities to the user's content data feed.

Abstract: The techniques, methods and systems described herein facilitate the automated discovery and presentation of content created, published or otherwise made public by “experts” and key influencers on particular topics. As such, users that may be interested in particular topics but may not know who to connect with in order to receive the most pertinent information can receive highly-relevant information. Embodiments of the invention use topics of interest identified by the user and/or automatically identifies topics based on previous postings, communication, contacts, etc. Individuals, companies, organizations and other entities that have been recognized as highly influential in those topics are identified and, without explicit actions by the user, adds content generated by the influential entities to the user's content data feed.