Yahoo! Inc.

Oath Inc.

Yahoo Holdings, Inc.

Yahoo Assets LLC

Timothy Michael Tully

Andrew James Beal

Benjamin Graham

A seemingly infinite and continuous stream of online content can be tracked by a movement tracker that can track an amount of movement of a stream of content. For example, such a movement tracker can track the amount of movement per session of a client-side application, such as per session of a web browser. In an example, the tracking of the movement can occur by tracking a measurable parameter of the stream that indicates the amount of movement, such as scroll distance. The movement tracker may also be configured to determine user interaction data according to the tracked amount of movement.

Tracking user interaction with a stream of content

A system can stream content items and ad items to a user interface of a client-side application (such as a web browser) without refreshing the user interface and by requesting such items from a local cache and/or a remote cache associated with the client-side application or the user interface. The remote cache can operate much like a local cache for the client-side application or the user interface. Items can be streamed to a user interface without refreshing the user interface and by requesting such items from a remote cache dedicated to caching the items that can be presented by the user interface. Because the tracking of such items and the tracking of the interactions with such items creates such large amounts of data, communicating the tracked data may be impracticable without use of a system that can effectively compress associated instrumentation data.

Dynamic streaming content provided by server and client-side tracking application

A system can effectively compress instrumentation data related to a page view on a client-side application thread (such as a web browser thread) and communicate the compressed data over the Internet to a server (such as an analytics server). Leading up to the compression, the system can include data scanning, code building, code encoding, and code serialization. The compression can run on a background thread of the client-side application, so that it does not interfere with other processes run by the client-side application. For example, a web worker can implement the code compression described herein.

Model traversing based compressed serialization of user interaction data and communication from a client-side application

A system can throttle compression of instrumentation data related to a page view, by throttled scanning processes. Then that data can be communication over the Internet to a server effectively. The scanning of instrumentation data can be performed via batch processing; and therefore, data for compression may be maximized or throttled. The system can also accelerate the various caching options involved with the streaming of content items and ad items. For example, such items can be retrieved by the local and/or remote caches associated with the client-side application and/or the page view, prior to the items being requested by and/or presented to a user, via batch retrieval processes. These batch retrieval processes can also be combined with the batch scanning processes.

Throttled scanning for optimized compression of network communicated data

While a device is offline, usage data is tracked on the device. The usage data is uploaded to a server after the device is again connected to a network. Applications that run on mobile devices typically embed a browser to display content. Unfortunately, mobile devices also frequently disconnect from the associated network. A system tracks usage data by using JavaScript in the browser to communicate with the native device, which then buffers the usage data for future upload. This is done by installing, in each application, a 'protocol handler' that listens for a request over a particular protocol. The protocol handler intercepts the requests and stores the usage data locally on the device. Subsequently, when the device detects network connectivity, the device uploads the data to servers that collect data for aggregation and presentation.

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Fremont, CA, United States of America

Timothy Michael Tully