Google Inc.

Edward A Baltz

Aranyak Mehta

Omkar Muralidharan

Christopher Davis Monkman

Bartholomew Furrow

Christopher M Roat

Michael Alex Frumkin

Myles A Sussman

Khanh B Nguyen

Karthik Gopalratnam

Gregory J Friedman

Ralph U Gasser

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributing content items. In one aspect, a method includes identifying a content item that is eligible to be provided in response to a content item request and is associated with a bid. It is determined that the identified content item includes two or more different interactive elements that each cause different actions to be initiated in response to user interaction with the different interactive elements. An auction score is determined for the content item based on a function of the bid, a bid modifier for each different interaction, and a probability that each interaction will be invoked. The content item is selected to be provided based on the auction score. Data that cause presentation of the selected content item at a user device are output.

Multiple interaction auction

Methods and systems to modify the number and/or positioning of advertisements presented to a user based on that user's activity patterns (e.g., previous queries, query result selections, ad selections, etc.) and the order in which events constituting the activity patterns occurred. For example, the methods and systems can be based on a Markov model utilizing the user's activity patterns.

User-based advertisement positioning using markov models

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Mountain View, CA, United States of America

Edward A Baltz