Time Warner Cable Enterprises LLC

Craig Engel

Justin Tidwell

Eduardo G Samame

Ethan Wolf

Chris Roosenraad

Craig Goldberg

Gary Cronk

Luis Roberto Anaya

Ramon Herrera

Cory Kin

Dipan Patel

Johnathan Saginaw

Sohil Sami

Methods and apparatus for detecting and correlating content consumption, e.g., viewing of programs and/or accessing websites, across platforms of different types are described. Content consumption, e.g., requests and/or streaming is monitored and recorded on a per subscriber basis for a wide variety of platforms, e.g., set boxes, IP content playback devices such as cell phones or pad devices with IP streaming support, and/or other devices. Web site access and corresponding content consumption is determined based on DNS requests thereby avoiding the need for monitoring at web site servers and allowing centralized monitoring of web site access operations in the form of DNS requests to be detected by a Web service provider who, at least in some embodiments, is also a content provider.

Methods and apparatus for cross platform monitoring and customer targeting

Methods and apparatus for identification and characterization of latency in a content delivery network. In one embodiment, interaction of users with content is recorded via collection of tuning records; the latency is then utilized to adjust the timing on the tuning records to account for lapses in time for sending these between entities of the network and the user devices, and for processing occurring at the devices. The latency is determined by taking into account a device specific latency component, and a network latency component. The network latency component is determined in one variant by sending a message to the device from the network requesting a response. Once the timing of the tuning records is adjusted, these tuning records may be relied upon as being accurate on a second-by-second basis. Accordingly, tuning records may be obtained and analyzed for content which lasts for a very short period of time.

Apparatus and methods for identifying and characterizing latency in a content delivery network

Methods and apparatus for ensuring the privacy of users and/or devices in a content delivery network from which data regarding the users' interaction with content is collected and distributed. In one embodiment, 'tuning' records which describe the interaction of users with content or other activities of interest are collected. It is determined whether an opportunity for compromise of the user's privacy (e.g., by derivative association) is present. If it is determined that such an opportunity exists, at least portions of the data are modified (e.g., collapsed). The modification may comprise replacing a first explicit data value with a second descriptive data value, increasing a range for the value, generalizing the value, removing the value, or encoding the value. Further processing of the collected tuning records may include, validating the data, accounting for latency, and generating reports based thereon.

Apparatus and methods ensuring data privacy in a content distribution network

Methods and apparatus for identification and characterization of latency in a content delivery network. In one embodiment, interaction of users with content is recorded via the collection of a plurality of tuning records; the latency is then utilize to adjust the timing on the tuning records to account for lapses in time for sending these from between entities of the network and the user devices, and for processing occurring at the devices as required. The latency is determined by taking into account an experimentally or manufacturer-derived device specific latency component, and a network latency component. The network latency component is determined in one variant by sending a message to the device from the network requesting a current system time (or other response). Once the timing of the tuning records is adjusted, these tuning records may be relied upon as being accurate representations of subscriber interaction with content on a second-by-second basis. Accordingly, tuning records may be obtained and analyzed for content which lasts for very short periods of time (e.g. advertisements).

Methods and apparatus for collection and processing of data relating to users of a content-delivery network. In one embodiment, the content delivery network is a cable or satellite or HFCu network, and the apparatus includes an architecture for routinely harvesting, parsing, processing, and storing data relating to the activities of the users (e.g., subscribers) of the network. In one variant, at least portions of the data are anonymized to protect subscriber privacy.

Methods and apparatus for audience data collection and analysis in a content delivery network

Methods and apparatus for collection, validation, analysis, and automated error correction of data regarding user interaction with content. In one embodiment, statistical methods are used to arrive at expected values for the collected data. The data is compared to the expected value and must meet one or more acceptance criteria (e.g., be within a prescribed range) to be considered valid. The prescribed range is determined by the network operator, or a computer program adapted to generate this value. The invention enables a network operator to assess a large volume of data without requiring significant amounts of manual monitoring and/or error correction. The ability to collect, validate and analyze data across multiple platforms is also provided. Still further, an automated system capable of learning evaluation and error correction patterns is disclosed.

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Shamong, NJ, United States of America

Craig Engel