International Business Machines Corporation

Google Inc.

Jpmorgan Chase Bank, N.a.

American Express Travel Related Services Company, Inc.

Abhijit Bose

Winnie W Cheng

Benjamin Schulte

Andrew Stephen Tomkins

Venkat Varadachary

Mithkal M Smadi

Anthony Mavromatis

Gavin C Michael

Huiming Qu

Kendell Timmers

Wei Yin

Hao Zhou

Rachel Ida Rosenthal Schutt

Shang Qing Guo

Yonatan Zunger

Nikolaos Anerousis

Andrew Ames Bunner

Debanjan Saha

Boris Mazniker

Daniela Rosu

Dennis Anthony Perpetua, Jr

Laura Zaihua Luan

Constantin Gonciulea

Michael Lewis

Lan Liu

Aman Bhargava

David Andrew Huffaker

Jason Troy Penshorn

Makoto Uchida

Sang Kyum Kim

Larisa Shwartz

Genady Grabarnik

Zon-Yin Shae

Hani Talal Jamjoom

Milton H Hernandez

Shu Tao

Jimeng Sun

Aliza Rivka Heching

David Andrew Gibson

Alexander Fabrikant

Zach Yeskel

Sreeram Ramakrishnan

Winnie Wing-Yee Cheng

Matthew Lightman

Vijay Pappu

John Maiden

Chandra Kumar Velpuri

Edward Landa

Hoda Parvin

According to an embodiment of the present invention, an automated computer implemented method and system for providing targeted content in real-time comprises a web and application server that identifies one or more user interactions from a user on a website hosted by an entity; a processor that receives the one or more user interactions and converts the one or more user interactions into one or more real-time attributes; and an engine that identifies customized content for the user from a remote processor, adjusts the customized content based on the one or more real-time attributes, and generates an output comprising the customized content for display on the website for the user in real-time.

Method and system for delivering real-time personalization across a distributed, modular network architecture

The present disclosure includes a system, method, and article of manufacture for generating an entity graph. The method may comprise determining a relationship between a first entity and a second entity based upon internal data, external data, and/or online data associated with the first entity, and generating the entity graph comprising at least two nodes and an edge connecting the at least two nodes. The method may further comprise, in various embodiments, tailoring marketing to the first entity based upon the entity graph, detecting fraud against the first entity based upon the entity graph, periodically updating the entity graph based upon new internal data and new online data, and/or adjusting the edge based upon a change in the relationship between the first entity and the second entity.

Adjusting an entity graph based on entity relationship strength

Systems and methods for generating an affinity graph are disclosed. According to one embodiment, a method may include (1) receiving customer data for a plurality of customers and merchant data for a plurality of merchants; (2) generating an initial customer table for each customer from the customer data; (3) generating an initial merchant table for each merchant from the merchant data; (4) receiving transaction data from a plurality of sources; (5) enhancing the initial customer tables and the initial merchant tables; (7) associating each customer and each merchant with at least one attribute based on the enhanced customer tables and the enhanced merchant tables; (8) determining an attribute score for each attribute; and (9) determining an affinity for one of the plurality of customers based on the attribute score for an attribute that is common to the one customer and another one of the plurality of customers.

Systems and methods for generating an affinity graph

The disclosure includes a system and method for providing a customized stream of content to a user. The system includes: an item sourcer for gathering one or more content items from one or more content sources; a behavior indicator module and scorer for determining one or more behavior scores for the one or more content items; a content indicator module and scorer for determining one or more content scores for the one or more content items; a score combiner for aggregating the one or more behavior scores and the one or more content scores to generate one or more item scores for the one or more content items; a content diversifier for determining one or more diverse items from the one or more content items; and a stream generator for generating a customized stream of content for the user from the one or more diverse items.

Customizing content in a social stream

Systems and methods for dynamic construction of entity graphs

Dynamically aggregating data is provided. A server device receives a subscriber request for a report based on a subset of metadata contained in a data dimensions catalog. The server device analyzes data aggregation requirements from a plurality of data sources for the report based on the subset of metadata defined in the subscriber request. The server device generates a data access plan for movement of data from the plurality of data sources based on the data aggregation requirements for the report. Then, the server device executes the data access plan to fetch the data from the plurality of data sources based on the data aggregation requirements for the report.

Dynamic data aggregation from a plurality of data sources

Systems and methods for providing real-time analysis of feature relationships are provided. In some aspects, a method includes receiving user activity data and user status data for users in the interactive network, the interactive network comprising at least two user features; generating a user dataset by associating, for each user, the user's activity data with the user's status data using a unique identification of the user and a timestamp; analyzing the user dataset using a statistical model; and providing, for display, an output of the analysis by the statistical model, the output including an indicator of a relationship between a use of one of the two user features with a use of the other of the two user features.

Real-time analysis of feature relationships for interactive networks

Aspects of the present invention dynamically reduce a frequency at which IT infrastructure automatically generates alerts. Historical data across a plurality of data sources in the IT infrastructure is analyzed. An opportunity to reduce the frequency at which the IT infrastructure automatically generates the alerts is identified. A new alert policy addressing the opportunity to reduce alert frequency is generated. An impact of the new alert policy on a set of predefined service level objectives (SLOs) and service level agreements (SLAs) is evaluated. The new alert policy is deployed in the IT infrastructure.

Reduction of alerts in information technology systems

A system and method for facilitating automatic objective-based feature improvement, the method including receiving a request to identify an optimal alternative for each of one or more features of a computer-implemented entity, determining an alternative feature range for each of the one or more features, the alternative feature range defining a range of possible alternative features available with respect to the feature, selecting one or more alternative features for each feature from the alternative feature range of the feature, generating a plurality of alternative sets, each including an alternative feature for at least one of the one or more features, selecting a plurality of user groups from a pool of users and assigning each user group of the plurality of users groups to one of the plurality of alternative sets based on user characteristics of the users and historical information regarding the interaction of the user with the computer-implemented entity.

Automated objective-based feature improvement

The present invention pertains to generating workflows using operational data, and mapping the operational data to the flow. Systems and methods are provided to receive operational data from networked devices, process the data to determine tasks performed and timing associated therewith, and output the analysis in the form of a workflow. Metrics measuring work volume, productivity, and the like may also be calculated using the operational data, and mapped to the flow. Generation of the workflow may be fully automated, or may request input from a user.

System and method for generating business process models from mapped time sequenced operational and transaction data

Techniques for dispatching one or more services requests to one or more agents are provided. The techniques include obtaining one or more attributes of each service request, obtaining one or more attributes of each agent, obtaining feedback from each of one or more agent queues, and using the one or more attributes of each service request, the one or more attributes of each agent and the feedback from each of the one or more agent queues to determine one or more suitable agents to receive a dispatch for each of the one or more service requests. Techniques are also provided for generating a database of one or more attributes of one or more service requests and one or more attributes of one or more agents.

Method for dispatching service requests

Growing community of inventors

Paramus, NJ, United States of America

Abhijit Bose