公开(公告)号：US20220014822A1

公开(公告)日：2022-01-13

申请号：US17305612

申请日：2021-07-12

申请人： Verizon Patent and Licensing Inc.

发明人： Haripriya SRINIVASARAGHAVAN ,  Rajeshwar MAKAM ,  Frolov VOLODYMYR ,  Pratik SARKAR ,  Ankit NAIDU ,  Yevhen RUTSKYI

IPC分类号： H04N21/466 ,  H04N21/84 ,  H04N21/25

摘要： A device may receive content data, a first model, and a second model. The first model may be trained on different types of metadata than the second model. The content data may include a first identifier of a first content item and a first set of metadata associated with the first content item. The device may process the first set of metadata to generate first recommendations from the first model and second recommendations from the second model. The device may provide the first identifier and a combination of the first recommendations and the second recommendations to client devices. The device may receive, from the client devices, user-generated target recommendations based on the combination. The device may process the user-generated target recommendations, the first recommendations, and the second recommendations, to provide feedback to update the first model and the second model.

公开(公告)号：US20220303626A1

公开(公告)日：2022-09-22

申请号：US17805889

申请日：2022-06-08

申请人： Verizon Patent and Licensing Inc.

发明人： Haripriya SRINIVASARAGHAVAN ,  Rajeshwar MAKAM ,  Frolov VOLODYMYR ,  Pratik SARKAR ,  Ankit NAIDU ,  Yevhen RUTSKYI

IPC分类号： H04N21/466 ,  H04N21/25 ,  H04N21/84

摘要： A device may receive content data, a first model, and a second model. The first model may be trained on different types of metadata than the second model. The content data may include a first identifier of a first content item and a first set of metadata associated with the first content item. The device may process the first set of metadata to generate first recommendations from the first model and second recommendations from the second model. The device may provide the first identifier and a combination of the first recommendations and the second recommendations to client devices. The device may receive, from the client devices, user-generated target recommendations based on the combination. The device may process the user-generated target recommendations, the first recommendations, and the second recommendations, to provide feedback to update the first model and the second model.