Invention Grant
- Patent Title: Machine learning systems architectures for ranking
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Application No.: US18349777Application Date: 2023-07-10
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Publication No.: US12153592B2Publication Date: 2024-11-26
- Inventor: Joaquin Delgado , Roger Henry Castillo , Boris Lerner , Ramesh Maddula , Emma Sawin , Alvaro Viloria , Jikai Lei
- Applicant: Bytedance Inc.
- Applicant Address: US DE Wilmington
- Assignee: Bytedance Inc.
- Current Assignee: Bytedance Inc.
- Current Assignee Address: US DE Wilmington
- Agency: ALSTON & BIRD LLP
- Main IPC: G06F16/2457
- IPC: G06F16/2457 ; G06N5/04 ; G06N20/00

Abstract:
Computing systems, computing apparatuses, computing methods, and computer program products are disclosed for machine learning ranking. An example computing method includes receiving a search query and determining a plurality of machine learning model execution engines based on the search query and a plurality of search result types. The example computing method further includes generating a plurality of subsets of search results based on the search query and the plurality of machine learning model execution engines. The example computing method further includes generating a set of search results comprising at least one search result from each of the plurality of subsets of search results.
Public/Granted literature
- US20240012823A1 MACHINE LEARNING SYSTEMS ARCHITECTURES FOR RANKING Public/Granted day:2024-01-11
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