公开(公告)号：US12051102B2

公开(公告)日：2024-07-30

申请号：US18059626

申请日：2022-11-29

Applicant: Bytedance Inc.

Inventor： Joaquin Delgado ,  Samuel Lind ,  Carl Radecke ,  Bhavani Satish Konijeti

IPC: G06Q30/0601 ,  G06F18/2113 ,  G06F18/214 ,  G06N20/00 ,  G06Q30/0207 ,  H04L67/04

CPC classification number: G06Q30/0643 ,  G06F18/2113 ,  G06F18/2148 ,  G06N20/00 ,  G06Q30/0224 ,  G06Q30/0631 ,  H04L67/04

Abstract: An apparatus, computer program product, and method are provided for predictive recommendations of device rendered objects using one or more objective models. In the context of a method, the method generates, for each device rendered object of a plurality of device rendered objects, a multiple objective score. The method also determines a real-time adjustment factor based in part on a received objective adjustment signal and generates, for each device rendered object of the plurality of device rendered objects, an adjusted multiple objective score based on the real-time adjustment factor. The method also generate a ranked device rendered object set, selects a subset of the ranked rendered object set, and transmits the ranked device rendered object subset to a client device associated with the user object of the user object objective, the subset configured for rendering within the user interface area of the client device.

公开(公告)号：US12153592B2

公开(公告)日：2024-11-26

申请号：US18349777

申请日：2023-07-10

Applicant: Bytedance Inc.

Inventor： Joaquin Delgado ,  Roger Henry Castillo ,  Boris Lerner ,  Ramesh Maddula ,  Emma Sawin ,  Alvaro Viloria ,  Jikai Lei

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.

公开(公告)号：US20250124038A1

公开(公告)日：2025-04-17

申请号：US18925438

申请日：2024-10-24

Applicant: Bytedance Inc.

Inventor： Joaquin Delgado ,  Roger Henry Castillo ,  Boris Lerner ,  Ramesh Maddula ,  Emma Sawin ,  Alvaro Viloria ,  Jikai Lei

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.