公开(公告)号：US20240330310A1

公开(公告)日：2024-10-03

申请号：US18191704

申请日：2023-03-28

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Weiwen Liu ,  Yunjia Xi ,  Jianghao Lin ,  Ruiming Tang ,  Weinan Zhang ,  Yong Yu

IPC: G06F16/2457 ,  G06F16/248 ,  G06F40/103

CPC classification number: G06F16/24578 ,  G06F16/248 ,  G06F40/103

Abstract: A system is provided for reranking. The system comprises a user device and one or more servers. The system is configured to receive a plurality of candidate lists, rerank the plurality of candidate lists based on page-level information and a format of a recommendation page, generate recommendation results based on the reranked lists, and send the recommendation results to the user device. Each candidate list comprises a plurality of candidate items. The page-level information comprises interactions between the candidate items in each candidate list and between different candidate lists among the plurality of candidate lists. The reranking comprises using the format of the recommendation page to determine pairwise item influences between candidate item pairs among the candidate items in the candidate lists. The user device is configured to display the recommendation page with the recommendation results from the one or more servers.

公开(公告)号：US12182141B2

公开(公告)日：2024-12-31

申请号：US18191704

申请日：2023-03-28

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Weiwen Liu ,  Yunjia Xi ,  Jianghao Lin ,  Ruiming Tang ,  Weinan Zhang ,  Yong Yu

IPC: G06F16/2457 ,  G06F16/248 ,  G06F40/103

Abstract: A system is provided for reranking. The system comprises a user device and one or more servers. The system is configured to receive a plurality of candidate lists, rerank the plurality of candidate lists based on page-level information and a format of a recommendation page, generate recommendation results based on the reranked lists, and send the recommendation results to the user device. Each candidate list comprises a plurality of candidate items. The page-level information comprises interactions between the candidate items in each candidate list and between different candidate lists among the plurality of candidate lists. The reranking comprises using the format of the recommendation page to determine pairwise item influences between candidate item pairs among the candidate items in the candidate lists. The user device is configured to display the recommendation page with the recommendation results from the one or more servers.