Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Methods and apparatus for identification and insertion of content targeted to a particular audience within a content-based network, such as a cable television or satellite network. In one embodiment of the invention, audience qualities are identified and distributed to an advertisement decision maker, which uses the information to fulfill advertisement placement opportunities. Qualifiers about an existing or projected audience are classified utilizing an algorithm for qualifier weight and variance in order to determine the proximity any given qualifier may be to a target audience for an advertisement. Subscriber privacy and anonymity is also optionally maintained via e.g., hashing or encrypting data relating to the CPE and/or subscriber, thus ensuring that audience data is not traceable to a specific user account. Business methods are also disclosed.

Abstract: 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.

Abstract: Apparatus and methods for providing media options over a network. In one embodiment, the media options are presented in conjunction with a promotion or advertisement for particular content. The precise ones of a plurality of disclosed options that will be presented may be determined based at least in part on a campaign established by a content management entity and a current availability of the content. For example, certain media options may only be made available for content that is currently available, while other options may be only available for content available at a future date/time, or during a particular time window. Rules for determining which options are to be provided in conjunction with which content and/or advertisements are established and by a content management entity, such as an entity of a multiple systems operator (MSO).

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Apparatus and methods for providing primary and secondary content and data to users. In one embodiment, management entities at a content delivery network core cooperate to provide primary content with contextually related or germane inserted secondary content to user devices. Inserted secondary content may include e.g., advertisements, multimedia applications, interactive programming, and scheduled programming. A network entity monitors user-specific data such as demographics, geographic location, and viewing patterns, and facilitates content selection and delivery based thereon. Content insertion may further be managed by a campaign manager according to business rules. In another embodiment, the primary and secondary content is pushed to a device at or near the network edge based on the applicability thereof to devices serviced by the edge device.

Abstract: 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.

Abstract: Methods and apparatus for identifying, creating and distributing audience qualities and other information to an advertisement management system and/or an advertisement decision maker. In one embodiment, the methods and apparatus of the invention provide a technique for classifying data collected about an audience, and creating and grouping qualifiers to those classifications. The invention further includes methods and apparatus for managing an advertising inventory via a management system. The inventory is defined in one variant by predicted or known secondary content insertion opportunities, and a particular audience of the primary content associated with the insertion opportunity. Subscriber privacy and anonymity is also optionally maintained via e.g., hashing or encrypting data relating to the CPE and/or subscriber, thus ensuring that audience data is not traceable to a specific user account.

Abstract: Methods and apparatus for identification and insertion of content targeted to a particular audience within a content-based network, such as a cable television or satellite network. In one embodiment of the invention, audience qualities are identified and distributed to an advertisement decision maker, which uses the information to fulfill advertisement placement opportunities. Qualifiers about an existing or projected audience are classified utilizing an algorithm for qualifier weight and variance in order to determine the proximity any given qualifier may be to a target audience for an advertisement. Subscriber privacy and anonymity is also optionally maintained via e.g., hashing or encrypting data relating to the CPE and/or subscriber, thus ensuring that audience data is not traceable to a specific user account. Business methods are also disclosed.

Abstract: Methods and apparatus for identifying, distributing, and/or utilizing data regarding audience qualities within an advertisement management system. In one embodiment, the methods and apparatus of the present invention provide a technique for classifying data collected about an audience, and creating and grouping qualifiers to those classifications. Methods and apparatus for managing an advertising inventory via a management system, and using the aforementioned audience data, are also disclosed. The inventory is defined in one variant by predicted secondary content insertion opportunities and a particular audience of the primary content associated with the insertion opportunity. Subscriber privacy and anonymity is also optionally maintained via e.g., hashing or encrypting data relating to the CPE and/or subscriber, thus ensuring that audience data is not traceable to a specific user account.

Abstract: Methods and apparatus for accurate, secure and uniform exchange of audience research data. In one embodiment, viewership data is provided in real-time and offers the ability to monitor audience activities regarding, among others, broadcast, VOD or DVR content. A standardized message configuration is optionally used also to permit maximum uniformity and accessibility of the data. Accuracy of data exchange is enforced by implementing a method of detecting system failures, and the transmission of incomplete messages. Subscriber privacy and anonymity is also maintained via e.g., hashing or encrypting data relating to the CPE and/or subscriber, thus ensuring that stored data is not traceable to a specific user account. The methods and apparatus may also be utilized in conjunction with systems enabling the insertion and/or recommendation of content or advertising based on data collected regarding user actions or events. Business methods are also disclosed.

Abstract: Systems and methods for enhanced network access are described. One aspect of one described embodiment includes receiving a request to connect to a network, the request associated with a user, determining a policy associated with the user, identifying at least one available network connection, determining at least one property of the at least one available network connection, evaluating the property based at least in part on the policy, and selecting the at least one available network connection based on the evaluation. In another embodiment, a computer-readable medium (such as, for example random access memory or a computer disk) includes code for carrying out such a method.

Abstract: Systems and methods for monitoring and displaying performance metrics are described. One aspect of one described embodiment includes receiving performance metrics associated with a plurality of network connections to a plurality of networks, each of the plurality of network connections associated with a client device; determining a status of one of the plurality of networks based at least in part on the performance metrics; and providing the status of the one of the plurality of networks to a user interface.

Abstract: Systems and methods for enhanced electronic asset protection are described. One aspect of one described embodiment includes receiving an indication to activate asset protection, the client device having a local data store; and activating asset protection in response to the indication, wherein asset protection comprises disabling the local data store and disabling the client device. In another embodiment, a computer-readable medium (such as, for example random access memory or a computer disk) includes code for carrying out such a method.

Abstract: Systems are methods for enhanced network client security are described. One aspect of one embodiment of the present invention includes receiving a security-related policy associated with a user, determining a security model associated with the security-related policy, and applying the security model to a network connection on a client device. One aspect of another embodiment of the present invention includes receiving a first measure associated with a usage characteristic, the usage characteristic associated with a user, receiving a second measure associated with the usage characteristic, comparing the first measure and second measure, and determining the likelihood that an unauthorized access has occurred based at least in part on the comparison.