公开(公告)号：US20240129569A1

公开(公告)日：2024-04-18

申请号：US18136105

申请日：2023-04-18

申请人： Gracenote, Inc.

发明人： Melissa Kazemi Rad ,  Tal Kedar ,  Dominic Bryan Edwards

IPC分类号： H04N21/262 ,  H04N21/25 ,  H04N21/258

CPC分类号： H04N21/26241 ,  H04N21/252 ,  H04N21/25891

摘要： Methods and systems for determining if end-users are expected to be receiving transmissions from a multimedia network at a particular time. Data including end-user type, a multimedia network, a particular time slot of the repeating cycles, and a network reach descriptor may be received. End-users may be identified by end-user type. For each end-user, a probability of receiving transmissions from the multimedia network during time slots prior to the particular time slot may be determined, based on previous viewing activities. Each probability may be adjusted by an offset such that an average of the adjusted probabilities corresponds to the network reach descriptor. A determination may be made of whether or not each end-user is expected to have been receiving transmissions from the multimedia network at the particular time slot, based on the adjusted respective probability.

公开(公告)号：US20240121457A1

公开(公告)日：2024-04-11

申请号：US18136095

申请日：2023-04-18

申请人： Gracenote, Inc.

发明人： Melissa Kazemi Rad ,  Tal Kedar ,  Matteo Zanotto ,  Garrett Mooney ,  Sritanu Chakraborty ,  Dominic Bryan Edwards

IPC分类号： H04N21/25 ,  H04N21/24 ,  H04N21/258

CPC分类号： H04N21/251 ,  H04N21/2407 ,  H04N21/25883

摘要： Methods and systems for determining projected amounts of viewing time of a TV program by end-users are disclosed. Data including end-user type, a TV program descriptor, TV network, and start time of transmission may be received. End-users may be identified by end-user type. A machine-learning model applied to the data and viewing history data may generate parameters for determining how much of the TV program they are each expected to view during a sequence of time intervals. For each end-user, the parameters may be applied to make a determination of temporal-fraction values of the TV program the end-user is expected to view during the time interval, and for each time interval, conditioning values used to condition the determination for the next time interval. Projected subtotals of viewing time may be determined, based on the temporal-fraction values. A projected total amount viewing time of the TV program may then be determined.