Apollo Education Group, Inc.

Lendingclub Bank, National Association

Trendme, Inc.

Vavu, Inc.

Shane Lunceford

David Le

Pradeep Ragothaman

Albert Lee

Aaron Denton

Alejandra Tonda

Janna Goldberg

Michael Homnick

Techniques are described herein for selecting an optimal financial account for a financial transaction. In an embodiment, a multi-account payment card is used to initiate a financial transaction. Transaction information of the financial transaction including a multi-account payment card ID is transmitted to a server for processing. The server determines that the multi-account payment card ID is associated with a plurality of financial accounts, wherein each of the plurality of financial accounts is associated with any one of a credit card, a debit card, an automatic teller machine (ATM) card, a gift card, or a credit line. A financial account of the plurality of financial accounts is selected by the server based on financial account information, such as reward information, associated with the plurality of financial accounts and the transaction information of the financial transaction. The financial transaction is then charged to the selected financial account.

Multi-layered credit card with transaction-dependent source selection

A multi-selection system allows selection of multiple displayed items in a GUI, and processes an underlying data set based on the selection. Users may utilize swipes or concurrent point interactions with the GUI to co-select items. The system identifies actions to perform for selected items based on selection criteria associated with the selected items, or mapping data that maps the selected items to actions. The system automatically identifies grouping criteria for data returned from performed actions and displays resulting groups for further user selection. The system provides suggestive visual highlights that identify commonly co-selected items in the interface. The system collects instrumentation items, for historical usage data, that record aspects of users' interactions with the system. As such, the system may identify, from the historical usage data, sets of commonly co-selected items, mappings between combinations of items and one or more actions, productive arrangements of items displayed in GUIs, etc.

Mobile intelligent adaptation interface

Automatic processing with multi-selection interface

A method and apparatus for personal trend management is provided. A request is received to associate a template with a user. The template includes instructions that define one or more data analysis strategies. Data associated with a data collection device that includes time stamped events associated with the user is received. Based on a strategy defined in the template and the data received from the data collection device, a result that conveys information relating to one or more trends involving the events is generated.

Personal trend management

Techniques for facilitating human social interaction, such as dating, through a computing system are disclosed. A logical representation of a social interaction called an event is created. The event is proposed to a second user for the system by the user that created the event. A response from the second user determines the communications paths available through the system. In one example, a positive response from the second user allows further communication between the users via a web-based messaging system. Methods of advertising and matching using this system are also disclosed.

Method for facilitating human social interaction using a computing system

Growing community of inventors

San Jose, CA, United States of America

Shane Lunceford