International Business Machines Corporation

Northrop Grumman Systems Corporation

Eileen Jiwon Min

Eric Woods

Corville O Allen

Jeffrey Douglas Haggar

Michael M Skeen

Lydia Mai Do

Kelly L Cook

Quentin P Herr

Anna Y Herr

Steven Brian Shauck

Utilizing social information for recommending an application includes providing an application recommendation system based on social characterizations, and responsive to a user searching for an application meeting a criteria, utilizing the application recommendation system by searching for applications meeting the criteria, characterizing the applications according to a social proximity factor to the user, and presenting the applications ordered by the social proximity factor.

Utilizing social information for recommending an application

There are provided a system, a method and a computer program product for creating the social group whose participants are involved in an online conversation. The system aggregates data associated with the online conversation and a group profile, of the social group. The system determines, based on the online conversation data and the group profile, a context of the online conversation and a goal of the social group. The system receives, based on the determined context and the goal, a first bidding from each provider, the first bidding associated with the determined context and the goal, the each provider providing one or more of: goods, services or discounts associated with the context and the goal.

Real-time social group based bidding system

There are provided a system, a method and a computer program product for suggesting content to a group. The system identifies a group of users in a social network. The system receives inputs associated with the social network group. The system aggregates the received inputs. The system analyzes the aggregated inputs. The system searches, based on the aggregation and the analysis, one or more tailored content to be delivered to the group in Internet, one or more database and one or more data warehouse. The system delivers the tailored content to the group in the social network.

Creating a dynamic aggregate group profile of users in an online collaboration session for providing tailored content delivery

One example includes a superconducting circuit. The circuit includes a plurality of layers comprising a first conductor layer and a second conductor layer overlying the first conductor layer, each of the first and second conductor layers comprising at least one signal element. The circuit also includes a ground grid that is conductively coupled to ground and comprises a first plurality of parallel ground lines that occupy the first conductor layer and extend in a first direction and a second plurality of parallel ground lines that occupy the second conductor layer and extend in a second direction that is orthogonal with respect to the first direction.

Ground grid for superconducting circuits

A method, system, and/or computer program product presents product recommendations based on input derived from a user's social network. A description of a product selected for purchase by a user is received. A social networking site is searched for information relevant to a characterization the product. The relevant information is characterized according to a social relationship between the user and an other member of the social networking site, a product family of the product, and a product expertise of the other member about the product. Characterized information about the product is then presented to the user.

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Morrisville, NC, United States of America

Eileen Jiwon Min