Yahoo! Inc.

Suhas Sadanandan

Sudharsan Vasudevan

Sudha Mahajan

Marcus Felipe Fontoura

Jayavel Shanmugasundaram

Erik Nathan Vee

Sergei Vassilvitskii

Jason Zien

Srihari Venkatesan

The present invention provides techniques relating to rich media advertising. Techniques are provided in which an advertiser-provided image-based component of an advertisement creative is matched with an advertiser-provided audio component of the advertisement creative. A rich media advertisement may be served that includes the image-based component and a synchronously presented audio component. Utilization of the rich media advertisement may be provided as an option to an advertiser to advertising utilizing a video advertisement, such as an option that may be used to target lower bandwidth users.

Lower bandwidth solutions using adlite rich media

The present invention provides techniques relating to rich media advertising. Techniques are provided in which an advertiser-provided image-based component of an advertisement creative is matched with an advertiser-provided audio component of the advertisement creative. A rich media advertisement may be served that includes the image-based component and a synchronously presented audio component. The image-based component and the audio-based component may be elements of a companion advertisement.

Using companion ads in adlite rich media

The present invention provides techniques relating to rich media advertising. Techniques are provided in which an advertiser-provided image-based component of an advertisement creative is matched with an advertiser-provided audio component of the advertisement creative. A rich media advertisement may be served that includes the image-based component and a synchronously presented audio component. Presentation of the rich media advertisement on a user computer may not require downloading or utilization of a video player.

Adlite rich media solutions without presentation requiring use of a video player

An item of inventory is described as a Boolean expression, which is converted into a multi-level, alternating AND/OR impression tree representation with leaf nodes representing conjuncts. Processing the conjuncts of the tree through a contract index results in retrieving a set of candidate contracts that match at least some but not necessarily all impression tree leaf node predicates. Next, an AND/OR contract tree representation is constructed with each contract tree leaf node having a label representing a projection onto a discrete set of ordered symbols. Contracts with projections that cover the entire range of discrete set of ordered symbols are deemed to satisfy the item of inventory. Implementation of the contract index includes retrieval techniques to support multi-valued predicates as well as confidence threshold functions using a multi-level tree representation of multi-valued predicates.

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Sunnyvale, CA, United States of America

Suhas Sadanandan