Optimizing parameters includes, during a time interval, rotating from setting a first parameter to a first value for a first time period, to setting the first parameter to a second value for a second time period such that the time interval includes multiple first time periods in which the first parameter is set to the first value sequenced with multiple second time periods in which the first parameter is set to the second value; obtaining, for the time interval, a first set of ratings corresponding to the first time periods and a second set of ratings corresponding to the second time periods; averaging, for the time interval, the first set of ratings to a first average rating and the second set of ratings to a second average rating; and correlating the first average rating to the first value and the second average rating to the second value.

An ad in a movie can be a static ad having a position in the movie that cannot be moved, or a dynamic ad having a position in the movie that can be changed. When a viewer wishes to skip a portion of the movie containing the ad, the playback system determines whether the ad is static or dynamic. If the ad is static, only the portion of the movie preceding the static ad can be skipped; the ad is unskippable. This technique is referred to as “bounceback” since the end of the skip bounces back to the start of the static ad. If the ad is dynamic, it is moved to after the end of the skip. This technique is referred to as “slip-ad” since the ad slips to later in the movie. When a movie has multiple ads, some can be static and some can be dynamic.

An ad in a movie can be a static ad having a position in the movie that cannot be moved, or a dynamic ad having a position in the movie that can be changed. When a viewer wishes to skip a portion of the movie containing the ad, the playback system determines whether the ad is static or dynamic. If the ad is static, only the portion of the movie preceding the static ad can be skipped; the ad is unskippable. This technique is referred to as “bounceback” since the end of the skip bounces back to the start of the static ad. If the ad is dynamic, it is moved to after the end of the skip. This technique is referred to as “slip-ad” since the ad slips to later in the movie. When a movie has multiple ads, some can be static and some can be dynamic.

Methods and apparatus to generate audience measurement data from population sample data having incomplete demographic classifications are disclosed. An example method includes detecting that a number of impressions a time segment of a video occurred based on messages; detecting that no impressions for the time segment of the video were detected by the database proprietor; determining respective percentages of exposures of the video that are attributable to corresponding ones of multiple demographic groups, determining the respective percentages being based on the first demographic information provided by the database proprietor for exposures of other time segments of the video; attributing respective portions of the number of impressions to the demographic groups based on the respective percentages to determine imputed numbers of impressions; generating adjusted numbers of impressions based on the imputed numbers of impressions; and determining ratings information for the video using the adjusted numbers of impressions.

Methods and apparatus to generate audience measurement data from population sample data having incomplete demographic classifications are disclosed. An example method includes detecting that a number of impressions a time segment of a video occurred based on messages; detecting that no impressions for the time segment of the video were detected by the database proprietor; determining respective percentages of exposures of the video that are attributable to corresponding ones of multiple demographic groups, determining the respective percentages being based on the first demographic information provided by the database proprietor for exposures of other time segments of the video; attributing respective portions of the number of impressions to the demographic groups based on the respective percentages to determine imputed numbers of impressions; generating adjusted numbers of impressions based on the imputed numbers of impressions; and determining ratings information for the video using the adjusted numbers of impressions.

A system and method for generating personalized multimedia content element clusters. The method includes determining, based on at least one interest, at least one personalized concept, wherein each personalized concept represents one of the at least one user interest; obtaining at least one multimedia content element related to a user; generating at least one signature for the at least one multimedia content element, each generated signature representing at least a portion of the at least one multimedia content element; determining, based on the generated at least one signature, at least one multimedia content element cluster, wherein each cluster includes a plurality of multimedia content elements sharing a common concept of the at least one personalized concept; and creating at least one personalized multimedia content element cluster by adding, to each determined cluster, at least one of the at least one multimedia content element sharing the common concept of the cluster.

A system and method for generating personalized multimedia content element clusters. The method includes determining, based on at least one interest, at least one personalized concept, wherein each personalized concept represents one of the at least one user interest; obtaining at least one multimedia content element related to a user; generating at least one signature for the at least one multimedia content element, each generated signature representing at least a portion of the at least one multimedia content element; determining, based on the generated at least one signature, at least one multimedia content element cluster, wherein each cluster includes a plurality of multimedia content elements sharing a common concept of the at least one personalized concept; and creating at least one personalized multimedia content element cluster by adding, to each determined cluster, at least one of the at least one multimedia content element sharing the common concept of the cluster.

A system and method for method for recommending trending content. The method includes causing generation of at least one signature for each of at least one input multimedia content element, wherein each signature represents a concept, wherein each concept is a collection of signatures and metadata describing the concept; comparing the generated signatures to signatures of a plurality of reference multimedia content elements, wherein each reference multimedia content element is associated with a context indicating a trend; determining, based on the comparison, at least one trending multimedia content element of the at least one input multimedia content element; and generating a recommendation notification, wherein the recommendation notification includes at least one of: the at least one trending multimedia content element, and an indication of the at least one trending multimedia content element.

A system and method for method for recommending trending content. The method includes causing generation of at least one signature for each of at least one input multimedia content element, wherein each signature represents a concept, wherein each concept is a collection of signatures and metadata describing the concept; comparing the generated signatures to signatures of a plurality of reference multimedia content elements, wherein each reference multimedia content element is associated with a context indicating a trend; determining, based on the comparison, at least one trending multimedia content element of the at least one input multimedia content element; and generating a recommendation notification, wherein the recommendation notification includes at least one of: the at least one trending multimedia content element, and an indication of the at least one trending multimedia content element.

A system and method for determining driving decisions based on multimedia content. The method includes obtaining, in real-time during a trip of a vehicle, trip multimedia content elements captured by at least one sensor deployed in proximity to the vehicle; identifying, based on at least one signature generated for each trip multimedia content element, at least one matching event multimedia content element, wherein each event multimedia content element demonstrates an event and is associated with a corresponding driving decision; and determining, in real-time, at least one driving decision, wherein each determined driving decision is associated with one of the identified at least one event multimedia content element.