Conviva Inc.

Weijia Li

Jibin Zhan

Ming Liu

Aditya Ravikumar Ganjam

Ningning Hu

Saiguang Che

Biplab Chattopadhyay

Sudhi Nada

Remote multi-target client monitoring for streaming content is disclosed. Raw data generated within a remote client device is received from the client device. The raw data is associated with content playback. An adaptor is used to translate the raw data into a unified data model. The translating comprises determining, from the raw data, a designation of at least one of a start and an end of a monitoring session.

Remote multi-target client monitoring for streaming content

Resource allocation includes generating a resource allocation identifier corresponding to a resource allocation request. The resource allocation request pertains to allocation of a resource associated with streaming of an audiovisual content item. The resource allocation identifier comprises a first portion and a second portion, the first portion comprising a key, and the second portion comprising information associated with contextual metadata pertaining to the corresponding resource allocation request. It further includes performing a first transmission of a first message including the resource allocation identifier. The first message including the resource allocation identifier is directed to a first address associated with a first entity. It further includes performing a second transmission of a second message. Transmission of the second message causes transmission of the resource allocation request. The second message is directed to a second address associated with a second entity. The first address and the second address are different. Resource allocation includes receiving a first message comprising a resource allocation identifier. It further includes, at a time subsequent to receiving the first message, receiving a second message comprising a resource allocation request pertaining to allocation of a resource associated with streaming of an audiovisual content item. It further includes matching the resource allocation request with the resource allocation identifier. It further includes, based at least in part on the match, receiving contextual metadata associated with the resource allocation request. It further includes facilitating resource allocation at least in part by using the contextual metadata.

Fast direct resource allocation identifier

Per-viewer engagement-based video optimization is disclosed. A request for content associated with a first client is received. A model associated with the first client is obtained. The obtained model comprises at least one of behavior and playback preferences of a viewer associated with the first client. The obtained model is used to determine, for the first client, an optimal set of instructions usable to obtain content. A different set of instructions is determined to be optimal for a second client. The optimal set of instructions determined for the client is provided as output. The first client is configured to obtain content according to the optimal set of instructions determined for the first client.

Per-viewer engagement-based video optimization

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Foster City, CA, United States of America

Weijia Li