公开(公告)号：US10735527B1

公开(公告)日：2020-08-04

申请号：US16264322

申请日：2019-01-31

Applicant: Microsoft Technology Licensing, LLC

Inventor： Jiaqi Ge ,  Yiping Yuan ,  Ajith Muralidharan ,  Padmini Jaikumar ,  Shipeng Yu

IPC: G06F15/177 ,  H04L29/08

Abstract: Technologies for determining whether to send a notification to an entity is provided. Disclosed techniques include receiving entity features describing attributes related to observed entity sessions. A set of entity-specific session features values may be generated from the received entity features. A session-quality prediction model may be generated using the set of entity-specific session feature values. The session-quality prediction model may determine an expected session score for a new entity session for an entity, where the expected session score describes a level of interaction for the new entity session. A notification may be received for a particular entity. The session-quality prediction model may be used to determine the expected session score for a new entity session for the particular entity. A determination may be made as to whether a notification should be sent to the particular entity based upon the expected session score for the new entity session.

公开(公告)号：US20250005440A1

公开(公告)日：2025-01-02

申请号：US18343496

申请日：2023-06-28

Applicant: Microsoft Technology Licensing, LLC

Inventor： Zhiyun Ren ,  Padmini Jaikumar

IPC: G06N20/00

Abstract: An extended two tower network is used to make both a recommendation of a content item that a given user may be interested in, and a recommendation of a user that may be interested in a given content item. The extended two tower network includes a content item sub-tower, a user sub-tower, and a fusion sub-model that are jointly trained to predict a probability that a given user is interested in a given content item. The content item sub-tower and the user sub-tower are used to make an initial prediction that the given user will be interested in the given content item. The initial prediction is then input to the fusion sub-model to make a final prediction. In the case of a candidate invitee recommendation, the initial prediction may be combined with one or more interaction features and the combination input to the fusion sub-model to make the final prediction.

公开(公告)号：US20200252467A1

公开(公告)日：2020-08-06

申请号：US16264322

申请日：2019-01-31

Applicant: Microsoft Technology Licensing, LLC

Inventor： Jiaqi Ge ,  Yiping Yuan ,  Ajith Muralidharan ,  Padmini Jaikumar ,  Shipeng Yu

IPC: H04L29/08

Abstract: Technologies for determining whether to send a notification to an entity is provided. Disclosed techniques include receiving entity features describing attributes related to observed entity sessions. A set of entity-specific session features values may be generated from the received entity features. A session-quality prediction model may be generated using the set of entity-specific session feature values. The session-quality prediction model may determine an expected session score for a new entity session for an entity, where the expected session score describes a level of interaction for the new entity session. A notification may be received for a particular entity. The session-quality prediction model may be used to determine the expected session score for a new entity session for the particular entity. A determination may be made as to whether a notification should be sent to the particular entity based upon the expected session score for the new entity session.