Adobe, Inc.

Shopzilla, Inc.

Bizrate.com

Efficient Frontier

Anil Kamath

Rajesh Bhatia

Prashant Kulkarni

Phoumrin Tan

Nikhil Ganju

Deepak Pai

Techniques for distributing online ads by targeting online ad requests using test data to predict performance. The techniques can target ad requests in automated online advertising systems in which ad requests are generated by an ad exchange server and bids are placed by marketer devices in real time. The techniques aggregate bid units and compare bid unit characteristics to select bid units to target in ways that address data sparsity, variance, and volume issues. Data sparsity issues are addressed by aggregating bid units to avoid using bid units having insufficient data. Data variance issues are addressed by computing stability metrics for bid units that enable discounting the effect of outliers. Data volume and processing efficiency issues are addressed by grouping similar bid units based on similar metrics (e.g., normalized ROI) and/or similar stability scores, and then ranking the bid units and selecting the top ranked bid units to target.

Distributing online ads by targeting online ad requests

Methods, articles, and systems for determining a bidding strategy for on-line query answer set or contextual advertisement positions for marketing options is described herein.

Method and apparatus for advertising bidding

Computer software, systems and methods for providing context personalized browsing over computer networks. In the foregoing, an intelligent agent referred to as a 'browser companion agent' includes a service component for holding one or more service modules that may assist a user by providing services that are contextually relevant to content on a browser on the user's computer system. The agent also includes a data component for holding data objects related to and sharable by one or more service modules. The agent further includes a tracking component for tracking the pages on a browser and for communicating browser page data to a remote computer system that may respond to the agent with data or code for use by service modules. Contemplated service modules include a comparison shopping service, a transaction tracking service, and automated form filling service.

Systems and methods for context personalized web browsing based on a browser companion agent and associated services

A method and system for determining a bidding strategy for on-line query answer set or contextual advertisement positions for marketing options is described herein.

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Palo Alto, CA, United States of America

Anil Kamath