Abstract: Systems and methods for predicting who is watching a program are disclosed. Text related to the program can be reviewed. Pre-determined genre words and pre-determined keywords can be determined. Words from the text which are relevant words can be determined. How closely the relevant words coincide to the pre-determined genre words can be determined by generating a breakdown of how many relevant words are the pre-determined genre words and the pre-determined keywords. It can be predicted who will watch the program based on the breakdown.
Type:
Application
Filed:
July 25, 2023
Publication date:
November 16, 2023
Applicant:
SINTEC MEDIA LTD.
Inventors:
SAM ABERMAN, BINYAMIN EVEN, OSHRI bARAZANI, PATRICK BLACKWILL
Abstract: Methods and systems for determining reach information. Watching habits of viewers in a designated market can be analyzed using machine learning algorithms to obtain campaign spot plans. The campaign spot plans can be applied to single viewer data to calculate campaign spot plan Television Average Ratings Points (TARP) pattern information. The TARP pattern information can be translated into reach information determining how many people were uniquely exposed to each campaign spot.
Abstract: Methods and systems for determining cumulative reach information. Duplicated watching habits of viewers in a designated market can be analyzed using campaign spot plans. The campaign spot plans can be applied to single viewer data to calculate campaign spot plan Television Average Ratings Points (TARP) pattern information. The TARP pattern information can be translated into reach information. Cumulative reach information can be determined using the reach information.