Abstract: An object-oriented data management method and system comprising nested structural-elements that form inter-related containers of IRC-Infoids that include information, processing-rules, and an atomic-action layer, enabling functions to operate across disparate-systems using self-normalizing data-definitions is disclosed. The creation and management of the IRC-Infoid objects, rules and actions are handled by an IRC-Infoid Engine. The IRC-Infoid is an object with its own definitions, properties, and rules, related to a single parent element. Six properties define the IRC-Infoid: event, user, file, message, data and relationship. These properties follow inter-relationship rules, which force internal consistency, data optimization, and maintain data integrity. The IRC-Infoid data structure includes documentation, thought leadership and chatter, which when parsed through the rule sets, gets attached to standard or triggered actions, including periodic updates and called actions for use across disparate systems.

Abstract: Systems and methods that enable enhanced social media advertising efficiency using mixed model equations to process advertisement data. A model is described that calculates enhanced advertisement data based on calculations using and re-using variables to isolate keys for effective advertisement.

Abstract: A command center provides ad-hoc search and navigation through different dimensional topic levels that allow users to better analyze and correlate data. The command center not only generates and displays content and metrics associated with an event, but can also generate and display real-time content and metrics for other topics, products, and/or services related to a currently displayed topic. The command center enables a user to navigate through the different dimensional levels simply by selecting items displayed by a remote control application. The command center also automatically synchronizes the content and metrics for any selected dimension to a same corresponding time period.

Abstract: An object-oriented data management method and system comprising nested structural-elements that form inter-related containers of IRC-Infoids that include information, processing-rules, and an atomic-action layer, enabling functions to operate across disparate-systems using self-normalizing data-definitions is disclosed. The creation and management of the IRC-Infoid objects, rules and actions are handled by an IRC-Infoid Engine. The IRC-Infoid is an object with its own definitions, properties, and rules, related to a single parent element. Six properties define the IRC-Infoid: event, user, file, message, data and relationship. These properties follow inter-relationship rules, which force internal consistency, data optimization, and maintain data integrity. The IRC-Infoid data structure includes documentation, thought leadership and chatter, which when parsed through the rule sets, gets attached to standard or triggered actions, including periodic updates and called actions for use across disparate systems.

Abstract: A system and method of interactive, location-based presentation and advertising that enables users with wireless network addressable communications devices to control multi-media content on network addressable screens and enables marketers to track, monitor and respond to users interactions in real time. A Proxy Gateway directs a network addressable client PC, connected to a digital display, to serve local content or pull content from one or more web servers. A wireless, network addressable device, typically a mobile phone, is used to communicate commands to the physically remote Proxy Gateway. The Proxy Gateway bridges between the communications device and the display by interpreting the commands from the communications device, forwarding them to the client PC which may pull content from the appropriate web server, or display native message content.

Abstract: An object-oriented data management method and system comprising nested structural-elements that form inter-related containers of IRC-Infoids that include information, processing-rules, and an atomic-action layer, enabling functions to operate across disparate-systems using self-normalizing data-definitions is disclosed. The creation and management of the IRC-Infoid objects, rules and actions are handled by an IRC-Infoid Engine. The IRC-Infoid is an object with its own definitions, properties, and rules, related to a single parent element. Six properties define the IRC-Infoid: event, user, file, message, data and relationship. These properties follow inter-relationship rules, which force internal consistency, data optimization, and maintain data integrity. The IRC-Infoid data structure includes documentation, thought leadership and chatter, which when parsed through the rule sets, gets attached to standard or triggered actions, including periodic updates and called actions for use across disparate systems.

Abstract: A method includes: receiving an excerpt of information from a first user, wherein the excerpt of information includes information from a target web page; storing the excerpt, in an XML format, in a folder on a storage medium; detecting a change in the target web page; in response to the detected change in the target web page, updating the excerpt of information from the target web page; receiving, from the first user, an identification of a second user with whom the first user wishes to share the excerpt of information; and transmitting a communication to the second user inviting the second user to view the excerpt of information in the folder.

Abstract: An object-oriented data management method and system comprising nested structural-elements that form inter-related containers of IRC-Infoids that include information, processing-rules, and an atomic-action layer, enabling functions to operate across disparate-systems using self-normalizing data-definitions is disclosed. The creation and management of the IRC-Infoid objects, rules and actions are handled by an IRC-Infoid Engine. The IRC-Infoid is an object with its own definitions, properties, and rules, related to a single parent element. Six properties define the IRC-Infoid: event, user, file, message, data and relationship. These properties follow inter-relationship rules, which force internal consistency, data optimization, and maintain data integrity. The IRC-Infoid data structure includes documentation, thought leadership and chatter, which when parsed through the rule sets, gets attached to standard or triggered actions, including periodic updates and called actions for use across disparate systems.

Abstract: A mobile “Applications Builder” established on the user's mobile handheld device creates a bucket or container for mobile applications (Apps) and selectively downloads applications that are appropriate to a search initiated by the consumer. The user search inputs are used as a contextualization input to identify the relevant product, service or brand and identify the Apps of companies that fall within the search parameters. The identified Apps are downloaded into a bucket and made available to the user to enable his search using tokens or logos for the products, services and brands he is interested in. Users can perform searches using scanned visual logos or visual tokens scanned. Visual tokens and logos contained within the bucket can be used to reduce the customer's effort during the search, while providing enlarged access to related items for consideration by the user as a marketing tool.

Abstract: An object-oriented data management method and system comprising nested structural-elements that form inter-related containers of IRC-Infoids that include information, processing-rules, and an atomic-action layer, enabling functions to operate across disparate-systems using self-normalizing data-definitions is disclosed. The creation and management of the IRC-Infoid objects, rules and actions are handled by an IRC-Infoid Engine. The IRC-Infoid is an object with its own definitions, properties, and rules, related to a single parent element. Six properties define the IRC-Infoid: event, user, file, message, data and relationship. These properties follow inter-relationship rules, which force internal consistency, data optimization, and maintain data integrity. The IRC-Infoid data structure includes documentation, thought leadership and chatter, which when parsed through the rule sets, gets attached to standard or triggered actions, including periodic updates and called actions for use across disparate systems.

Abstract: In one embodiment, a method includes: receiving an excerpt of information from a first user, wherein the excerpt of information includes information from a target web page; storing the excerpt, in an XML format, in a folder on a storage medium; detecting a change in the target web page; in response to the detected change in the target web page, updating the excerpt of information from the target web page; receiving, from the first user, an identification of a second user with whom the first user wishes to share the excerpt of information; and transmitting a communication to the second user inviting the second user to view the excerpt of information in the folder.

Abstract: A conversation correlation system is configured to associate social signals with conversations and group the conversations into topic clusters. The topic clusters for different days are linked together to form conversation streams. The conversation streams may identify conversation topics within ecosystems and identify changes in conversation topics over time. Topic labels may be generated for the topic clusters that better describe conversation topics. In one example, the topic labels may be generated using a mutual information topic distribution model.

Abstract: Systems and methods that enable enhanced social media advertising efficiency using mixed model equations to process advertisement data. A model is described that calculates enhanced advertisement data based on calculations using and re-using variables to isolate keys for effective advertisement.

Abstract: A social analytic system may identify the social signals associated with a brand, campaign, or any other topic. The social analytic system may generate a vocabulary associated with the brand, campaign, or topic based terms used in the associated social signals. The vocabulary may be used for generating social media analytics and identifying social media events, such as marketing campaigns. In one example, a vocabulary may be compared with vocabularies associated with different constituents to identify the positive and negative terms in the vocabulary.

Abstract: A social analytic system collects signals from different social network accounts. Social metrics are derived for the accounts and the accounts classified as different types of constituents for a company or primary account based on the social metrics. The constituents may include any combination of advocates, detractors, influencers, spammers, employees, partners, and/or market. Some of the social metrics used for classifying the different types of constituents may include a volume of the signals, types of message interactions, number of unique messages, sentiment, number of subscribers, alignment of constituent and company messages, and/or average signal length.

Abstract: An operator enters a name of a company, product, or any other entity into a user interface. A hashtag analytic system then automatically discovers social media campaigns associated with that entity based on hashtag or keyword usage in associated posted messages. The hashtag analytic system may automatically discover the social media accounts for the entity and then scan messages posted on the social media accounts for hashtags. The hashtag analytic system groups together posted messages that include campaign related hashtags and generates analytics for the groups of messages associated with the same campaigns.

Abstract: In one embodiment, a method includes: receiving an excerpt of information from a first user, wherein the excerpt of information includes information from a target web page; storing the excerpt, in an XML format, in a folder on a storage medium; detecting a change in the target web page; in response to the detected change in the target web page, updating the excerpt of information from the target web page; receiving, from the first user, an identification of a second user with whom the first user wishes to share the excerpt of information; and transmitting a communication to the second user inviting the second user to view the excerpt of information in the folder.

Abstract: A social media processing system enhances posts to create stronger visual connections with viewers. The processing system may collect social media from different social networks and identify social streams from the social media associated with a particular client. The processing system stores a data set associated with the client that may include keywords, rules, and associated enhancements. The enhancements may include logos, images, font types, statistics, or any other information associated with the company. The processing system identifies content in the posts matching the keywords and adds the enhancements associated with the matching keywords to the post.

Abstract: A social analytic system may collect social signals from different social network accounts. The social signals may be associated with different ecosystems. Time series data may be generated from the social signals and the time series data may be filtered to remove at least some generic or unrelated trends. Different data sets from the time series data may be associated with different ecosystem metrics. The social analytic system may compare different filtered time series data sets to identify different ecosystem events. For example, the comparisons may be used to identify highly correlated ecosystem metrics and ecosystem anomalies, and predict ecosystem events.

Abstract: A model based social analytic system collects social signals from social network accounts for different companies and constituents. The social signals can be used to benchmark social network performance for different contextual dimensions, such as industries, companies, brands, etc. Conversations may be identified in the signals and the types of constituents participating in the conversations may be identified. Analytics can then be determined for the contextual dimensions based on the related conversations and the types of constituents participating in the conversations.