Oracle International Corporation

Matthew Sherman

Manish Srivastava

German Bertot

Gyanesh Hari Dwivedi

John Zhou

Jooturu Chinna Ramesh Kumar Reddy

Ramesh Kumar Reddy Jooturu Chinna

Shalaka Natu

A method, system, and computer program product for updating an auction monitor display with highlighting or emphasis in the form of graphic data change indicators. The method commences by capturing a first set of auction variables, the auction variables pertaining to an ecommerce auction involving a plurality of auction participants in the ecommerce auction. Then, for ongoing real-time display, the method introduces a delay of a variable duration of time, the variable duration of time based on the length of time before the end of the auction. At various points within each delay period, the method captures a second set of auction variables which are compared to the first set of auction variables to identify a candidate set of changed auction variables for emphasis. The determination of the manner of emphasis is based on the changed auction variable and characteristics of the type of change of the changed auction variable.

Dynamic auction monitor with graphic interpretive data change indicators

Embodiments of the invention provide systems and methods for tracking recent activities of processes and presenting recommended next actions based thereon. According to one embodiment, a method of tracking and interacting with one or more processes can comprise detecting one or more activities, each activity related to at least one of a plurality of ongoing transactions of the one or more processes. The one or more activities can be recorded in records of an activity log. At a later point in time, relevant records of the activity log for a particular user can be identified. A determination of a recommended next action can be made for each identified relevant record based on the recorded activity and the related transaction. A list of the identified relevant records of the activity log and the determined recommended next actions can be generated and presented to the user.

Predictive system recommended actions based on recent activities

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Pleasanton, CA, United States of America

Matthew Sherman