Abstract: Systems and techniques for generating recommendations for items likely to be of interest to a user. Upon an indication that a recommendation may be needed by a user, a plurality of recommendations from different sources are generated and combined. Suitably, each recommendation includes parameters such as accuracy and confidence parameters. Combining the recommendations comprises adjusting the parameters based on a set of rules established by an operator of a system for combining recommendations. The rules may be adjusted by operator inputs through an interface and may be adjusted, if desired, during generation of a recommendation. At least one of the recommendation sources generates recommendations based on social grouping, wherein social groupings are identified based on connections between members and similarity of purchased between members, and wherein a recommendation for a specific user is generated by identifying groups to which the user belongs and items popular within such groups.

Abstract: A method for identifying influence on user interest for products and ability of users and products to be influenced is disclosed. A processor identifies a degree of influence a number of influencers has over user interest for each of a number of products based on a history of user interest of a number of users for the number of products, wherein each influencer in the number of influencers as one of a user in the number of users and a product in the number of products. The processor also identifies a degree of ability of one or more of the number of users and the number of products to be influenced based on the degree of influence of each of the number of influencers and a number of relationships between the one or more of the number of users and the number of products and the number of influencers.

Abstract: Techniques, systems, and articles of manufacture for identifying event-specific social discussion threads. A method includes identifying a spatial relationship and one or more additional relationships across two or more topical clusters derived from a text source, extracting one or more temporally evolving discussion sequences across the two or more topical clusters, identifying at least one social discussion thread across the two or more topical clusters by identifying a correlation between the one or more additional relationships and the one or more temporally evolving discussion sequences, and to identifying a geographically-constrained social discussion thread among the at least one identified social discussion thread by identifying a correlation between the spatial relationship across the two or more topical clusters and the at least one identified social discussion thread.

Abstract: Embodiments of the invention are related to identifying a user's intent dynamically from at least a set of metadata associated with the user, wherein the set of metadata is associated with a user input, and providing to the user a set of labeled instances on determination of a user's intent, the set of labeled instances being directly related to user's intent, where the set of labeled instances are obtained in real-time from a set of information repositories.

Abstract: Methods and arrangements for constructing and analyzing federated social networks. A first social network with a first plurality of accounts is defined, as well as a second social network with a second plurality of accounts, the second social network being unaffiliated with the second social network. The first and second social networks are federated to determine a union of the first and second social networks and an intersection of the first and second social networks, and second-order connections between one or more of the first plurality of accounts and one or more of the second plurality of accounts are ascertained, the second-order connections including connections outside of the intersection of the first and second social networks and within the union of the first and second social networks.

Abstract: Techniques, a system and an article of manufacture for determining potential enterprise partnerships. A method includes constructing an interaction graph for a set of multiple enterprises based on information pertaining to each of the enterprises and information pertaining to transactions conducted among the enterprises, and determining at least two candidate partnership teams among the set of enterprises based on at least one attribute of the graph, wherein each candidate partnership team comprises two or more of the enterprises.

Abstract: Methods and arrangements for constructing and analyzing federated social networks. A first social network with a first plurality of accounts is defined, as well as a second social network with a second plurality of accounts, the second social network being unaffiliated with the second social network. The first and second social networks are federated to determine a union of the first and second social networks and an intersection of the first and second social networks, and second-order connections between one or more of the first plurality of accounts and one or more of the second plurality of accounts are ascertained, the second-order connections including connections outside of the intersection of the first and second social networks and within the union of the first and second social networks.

Abstract: A computer-implemented method, computerized apparatus and computer program product for generating economic model based on business transaction messages. The method comprising obtaining business transactions from a business collaboration network, wherein each business transaction is a business-to-business transaction; and automatically generating, by a processor, based on the business transactions, an economic simulator capable of simulating economic activity within the business collaboration network, wherein the economic activity is associated with a business transaction that is transmitted via the business collaboration network.

Abstract: Techniques, a system and an article of manufacture for determining potential enterprise partnerships. A method includes constructing an interaction graph for a set of multiple enterprises based on information pertaining to each of the enterprises and information pertaining to transactions conducted among the enterprises, and determining at least two candidate partnership teams among the set of enterprises based on at least one attribute of the graph, wherein each candidate partnership team comprises two or more of the enterprises.

Abstract: Techniques, an apparatus and an article of manufacture for management of personalized advertisements through the mass media. A method includes capturing content of an advertisement that is displayed publically and/or publically accessible to a plurality of individuals through a mass media mechanism by recording an image of the advertisement using a hand-held device, storing the content of the advertisement in a user-dedicated repository, and managing the content of the advertisement in the user-dedicated repository to facilitate distribution of the advertisement through the user to one or more additional individual users.

Abstract: Techniques, an apparatus and an article of manufacture for incorporating contextual reinforcement to dynamically evolve an information campaign. A method includes determining an evolution of an information campaign with respect to at least one end objective up to a pre-determined point of advancement in the life cycle of the information campaign, predicting a future progression of the information campaign from the pre-determined point of advancement with respect to the at least one end objective based on said evolution and at least one learned model of progression, wherein said future progression includes a prediction of a potential outcome of the information campaign at one or more given time points in the life cycle, and incorporating a contextual reinforcement campaign into the information campaign to dynamically evolve the information campaign toward the at least one end objective, creating an evolved information campaign, wherein the reinforcement campaign is based on said future progression.

Abstract: Systems, methods, and products for described herein. One aspect provides for transmitting a message template comprising at least one template element to at least one receiver device, the at least one template element comprising (i) at least one rule and (ii) content having at least one customized element; receiving at least one instantiation request responsive to the message template being opened by at least one receiver device; instantiating the message template as at least one customized message based on the at least one rule and at least one attribute associated with the receiver device, wherein the at least one customized message comprises a specified value for the at least one customized element; and transmitting the at least one customized message to the at least one receiver device. Other embodiments and aspects are also described herein.

Abstract: Methods and arrangements for managing execution of multiple campaigns. At least two campaigns are directed to a target. A monitor is associated with the target, and the at least two campaigns are delivered to the monitor, wherein at least one campaign is in a run mode and at least one campaign is in a wait mode.

Abstract: Methods and arrangements for managing execution of multiple campaigns. At least two campaigns are directed to a target. A monitor is associated with the target, and the at least two campaigns are delivered to the monitor, wherein at least one campaign is in a run mode and at least one campaign is in a wait mode.

Abstract: A computer-implemented method that includes identifying a social network of a plurality of entities, each entity is associated with at least one other entity in the social network. A group of entities is identified from the plurality of entities that have expressed an interest in any one of a plurality of items. A primitive-community for each of the groups of entities is determined for each distinct item of the plurality of items. Common sets of entities are determined within each primitive-community associated with the each distinct item of the plurality of items based on a minimum support level, using a frequent itemset mining approach, where the first primitive community and the second primitive community are treated as transactions and entities are treated as items. A union including all distinct entities from the common sets of entities is determined from the common sets of entities.

Abstract: A non-transitory computer storage medium stores a method that includes identifying a social network of a plurality of entities, each entity being associated with at least one other entity in the social network. A group of entities is identified from the plurality of entities that have expressed an interest in any one of a plurality of items. A primitive-community for each of the groups of entities is determined for each distinct item of the plurality of items. Common sets of entities are determined within each primitive-community associated with the each distinct item of the plurality of items based on a minimum support level, using a frequent itemset mining approach, where the first primitive community and the second primitive community are treated as transactions and entities are treated as items.

Abstract: Methods and arrangements for constructing and analyzing federated social networks. A first social network with a first plurality of accounts is defined, as well as a second social network with a second plurality of accounts, the second social network being unaffiliated with the second social network. The first and second social networks are federated to determine a union of the first and second social networks and an intersection of the first and second social networks, and second-order connections between one or more of the first plurality of accounts and one or more of the second plurality of accounts are ascertained, the second-order connections including connections outside of the intersection of the first and second social networks and within the union of the first and second social networks.

Abstract: A comparison method and system including retrieving by a computer, first data associated with first interactions between users associated with social networks. The computing system generates a first graph illustrating the first interactions. The computing system identifies targeted users associated with a marketing plan for the users. The computing system enables the marketing plan and retrieves second data associated with second interactions between the users. The computing system generates a second graph illustrating the second interactions, compares the second graph to the first graph, and generates a third graph illustrating first order differences between the first interactions and the second interactions.

Abstract: Embodiments of the invention are related to identifying a user's intent dynamically from at least a set of metadata associated with the user, wherein the set of metadata is associated with a user input, and providing to the user a set of labeled instances on determination of a user's intent, the set of labeled instances being directly related to user's intent, where the set of labeled instances are obtained in real-time from a set of information repositories.

Abstract: A significant recent trend in the internet and mobile telephony has been the dominance of user generated content. As such, in mobile technology have permitted users to upload content onto the internet, whereby sites provide an easily accessible and manageable medium for users to share their thoughts and form a portal for media-rich exchanges. It has been found that much of what is exchanged by users in such settings is context-sensitive, ranging from users' moods and opinions, to communication about users' plans. Broadly contemplated herein, in accordance with at least one embodiment of the invention, is the employment of data mining in information repositories settings to efficiently classify an information stream in real-time and thereby discern user intent.