Invention Publication
- Patent Title: COMPATIBILITY ASSESSMENT THROUGH MACHINE LEARNING
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Application No.: US17897664Application Date: 2022-08-29
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Publication No.: US20240078495A1Publication Date: 2024-03-07
- Inventor: Sai Hareesh Anamandra , Gopi Kishan , Rohit Jalagadugula , Akash Srivastava , Kavitha Krishnan , Vinay George Roy
- Applicant: SAP SE
- Applicant Address: DE Walldorf
- Assignee: SAP SE
- Current Assignee: SAP SE
- Current Assignee Address: DE Walldorf
- Main IPC: G06Q10/06
- IPC: G06Q10/06 ; G06Q10/10

Abstract:
Systems, methods, and computer media for determining compatible users through machine learning are provided herein. Previous interactions between some users in a group can be used to determine a first set of user-to-user compatibility scores. Both the first set of compatibility scores and attributes for the users in the group can be provided as inputs to a machine learning model that can be used to determine a second set of user-to-user compatibility scores for user pairs who do not have an interaction history. Along with input constraints, the first and second sets of user-to-user compatibility scores can be used to select compatible user groups.
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