Abstract: Techniques for use in determining redress measures for a television (TV) service outage based on impact analysis are described. A TV service outage may be associated with a TV system apparatus including a TV user interface (UI). In one illustrative example, one or more subscribers impacted by the TV service outage are determined. An impact score is determined for each one of the subscribers. A redress measure for each one of the subscribers is then determined in accordance with their corresponding impact scores. An impacted subscriber and/or an impact score may be determined based at least in part on subscriber TV usage data or subscriber TV UI usage data.

Abstract: In one illustrative example, TV usage data associated with a residential set-top box (STB) are obtained and stored over a plurality of repeated (e.g. weekly) time periods. TV usage pattern data associated with the residential STB are derived based on the stored TV usage data. A suspected illegitimate use of the residential STB is identified based on identifying a match or correlation between the TV usage pattern data and one of a plurality of predetermined commercial TV usage patterns. Further, for each listing data of one or more published listings of business hours, types, and themes associated with one or more commercial establishments, a comparison or correlation is performed between the TV usage pattern data and the listing data. A commercial establishment associated with illegitimate use is identified based on identifying a match or correlation between the TV usage pattern data and the listing data associated with the commercial establishment.

Abstract: In one embodiment, a method includes receiving usage data regarding usage of a subscription-based media service account, generating a plurality of sharing scores based on the usage data, each of the plurality of sharing scores being indicative of a confidence that the usage of the subscription-based media service account is subject to a respective type of sharing, comparing each of the plurality of sharing scores to a respective threshold, and, in response to one of the plurality of sharing scores exceeding its respective threshold, presenting a challenge associated with the respective type of sharing.

Abstract: A system for correlating a user's interests to media content, said system comprising: (a) at least one data store comprising media content data relating to people, works, and tags; (b) a relationship generator configured to generate direct relationships among said people, works and tags; (c) a connection module to generate connections between a primary person, work or tag and a first set of said people, works, and tags, wherein each person, work and tag of said first set has a direct relationship with said primary person, work or tag; and (d) a display module for causing the display of at least a portion of said first set of said people, works and tags.

Abstract: A system for correlating a user's interests to media content, said system comprising: (a) at least one data store comprising media content data relating to people, works, and tags; (b) a relationship generator configured to generate direct relationships among said people, works and tags; (c) a connection module to generate connections between a primary person, work or tag and a first set of said people, works, and tags, wherein each person, work and tag of said first set has a direct relationship with said primary person, work or tag; and (d) a display module for causing the display of at least a portion of said first set of said people, works and tags.

Abstract: A system for correlating a user's interests to media content, said system comprising: (a) at least one data store comprising media content data relating to people, works, and tags; (b) a relationship generator configured to generate direct relationships among said people, works and tags; (c) a connection module to generate connections between a primary person, work or tag and a first set of said people, works, and tags, wherein each person, work and tag of said first set has a direct relationship with said primary person, work or tag; and (d) a display module for causing the display of at least a portion of said first set of said people, works and tags.

Abstract: A system for correlating a user's interests to media content, said system comprising: (a) at least one data store comprising media content data relating to people, works, and tags; (b) a relationship generator configured to generate direct relationships among said people, works and tags; (c) a connection module to generate connections between a primary person, work or tag and a first set of said people, works, and tags, wherein each person, work and tag of said first set has a direct relationship with said primary person, work or tag; and (d) a display module for causing the display of at least a portion of said first set of said people, works and tags.