公开(公告)号：US20240412299A1

公开(公告)日：2024-12-12

申请号：US18371142

申请日：2023-09-21

Applicant: Microsoft Technology Licensing, LLC

Inventor： Aman Gupta ,  Xincen Yu ,  Ning Jin ,  Kuan Chen ,  Madhura Anil Deo ,  Gina Paola Rangel ,  Smriti R. Ramakrishnan ,  Xiaoxi Zhao ,  Chun Lo ,  Arvind Murali Mohan ,  Hongbo Zhao ,  Shifu Wang ,  Jim Chang

IPC: G06Q30/0204 ,  G06N3/08 ,  G06Q10/1053 ,  G06Q50/00

Abstract: In an example embodiment, a deep machine learning model ranks cohorts of users as well as cohorts of products in a single ranking. When utilized to determine which cohort members to display to a user, the system selects one user cohort and one product cohort as the “best” (e.g., the top ranked user cohort and the top ranked product cohort). This ranking may be based on a number of contextual and non-contextual features, including viewer features (characteristics of the user operating the user interface), viewee features (characteristics of or related to the litem that the user is viewing, such as the characteristics of another user whose profile the user is viewing), and viewer-viewee relationship features (indications about how the viewer and viewee are related, such as common schools, locations, places of employment, etc.).