公开(公告)号：US20250053801A1

公开(公告)日：2025-02-13

申请号：US18447003

申请日：2023-08-09

Applicant: Microsoft Technology Licensing, LLC

Inventor： Xiaojing Chen ,  Jiong Zhang ,  Sen Zhou ,  Zhenjie Zhang

IPC: G06N3/08

Abstract: Embodiments of the disclosed technologies are capable of providing a ranking of digital content using a machine learning model. The machine learning model is configured for multi-task learning for dependent multi-objective optimization. Embodiments configure a memory according to a machine learning model, where the machine learning model includes a shared backbone and multiple heads. Each of the multiple heads are trained to perform a task associated with a first objective of a second objective.

公开(公告)号：US10733243B2

公开(公告)日：2020-08-04

申请号：US15691623

申请日：2017-08-30

Applicant: Microsoft Technology Licensing, LLC

Inventor： Runfang Zhou ,  Ajit Paul Singh ,  Anish Ramdas Nair ,  Sen Zhou ,  Vladislav Tcheprasov ,  Sachin Hosmani ,  Da Teng

IPC: G06F16/00 ,  G06F16/951 ,  G06Q50/00

Abstract: A system, a machine-readable storage medium storing instructions, and a computer-implemented method described herein are directed to a Similar Profiles Engine. The Similar Profiles Engine generates an inverted index query based on one or more portions of profile data of a target member account of a social network service. The Similar Profiles Engine identifies respective profile data, of one or more candidate member accounts in the social network service, that maps to at least one inverted index filter, the at least one inverted index filter matching at least a portion of the inverted index query. The Similar Profiles Engine calculates a similarity score between each respective candidate member account and the target member account, and causes a display of identifiers of one or more candidate member accounts in a user interface of a client device based on respective similarity scores.