Rentrak Corporation

Chrome Systems Corporation

Kim Hadfield

Michael J Vinson

Amir Yazdani

Aaron J Harsh

Maria Loper

Jonathon P Hager

Marla Loper

Tony P Haber

Brian S Majewski

Various of the disclosed embodiments contemplate television viewing behavior data collected from a plurality of television set top boxes by using aggregation to detect an excess or a deficit in viewership for a group of television set top boxes. In some embodiments, a group of set top boxes can be associated with a particular television service provider, cable television head-end, or data warehouse. Additionally, some embodiments can clean television viewing behavior data by detecting and correcting aberrant viewership in a time series, e.g. based on a weekly or an approximately monthly frequency. In some embodiments, the aberrant viewership can be detected by calculating a minimum expected number of viewers for a day and comparing it to the actual number of households that reported viewers for that day.

Aggregation-based methods for detection and correction of television viewership aberrations

A system and method for cleaning television viewing behavior data collected from set top boxes by detecting and correcting various problems that can occur in the viewing data. Three problems that may be detected and corrected by the system include: overflows of memory buffers; inclusion of non-human generated tuning events; and presence of clock offsets. After cleaning the television viewing behavior data, the cleaned data may be used to analyze audience viewing behavior in a manner that achieves a higher degree of accuracy than can be achieved by using uncleaned television viewing behavior data.

Systems and methods compensating for set top box overflow

A system and methods to calculate ratings of television advertisements based on viewing data and to assess the effectiveness of the advertisements. In some embodiments, consumer viewing data is consolidated across a plurality of disparate channels through which content and advertisements are presented to viewers. Some of the channels may provide information directly to the system about which advertisements were presented to viewers. In some embodiments, the system may instead determine whether an advertisement was likely viewed based on scheduling data associated with the presentation of content and advertisements. The system may provide additional algorithms for rating advertisements based on the consolidated information. That is, the system may allow performance of advertisements to be compared against other advertisements across a desired population of viewers. Embodiments may further provide information for a graphical user interface to assess the ratings and results.

System and method for television advertisement audience measurement

System and method for cleaning television viewing measurement data

Embodiments of a data management interface (DMI) and associated methods are generally described. According to but one example embodiment, a method is introduced comprising importing content describing product inventory from one or more disparate data sources of such content, the content including one or more standard product descriptors that uniquely identify an individual instance of a product, selectively modifying the imported content based, at least in part, on content associated with the uniquely identified instance of the product obtained from an independent resource, and exporting the selectively modified content to any one or more of a number of media.

Data management interface capable of providing enhanced representation of imported electronic content

Growing community of inventors

Vancouver, WA, United States of America

Kim Hadfield