公开(公告)号：US12288009B2

公开(公告)日：2025-04-29

申请号：US17354549

申请日：2021-06-22

Applicant: Bytedance Inc.

Inventor： Leopold Silberstein ,  Addhyan Pandey ,  Abhaya Parthy ,  Boris Lerner

IPC: G06F30/20 ,  G06F111/02 ,  G06F111/10

Abstract: An apparatus, method, and computer program product are provided to predict and model the performance of option data objects prior to the introduction of such option data objects into a network environment through the application of specific rule sets that are applied in a multi-stage arrangement on sets of extracted option data object parameters. In some example implementations, option data object parameters are extracted and parsed into sets of categorical and non-categorical parameters, which may be both quantitative and qualitative, and transmitted to one or more predictive models. Through the operation of the predictive models, the option data object parameters are transformed into a weighted value associated with the option data object that reflects a predicted performance level of the option data object and can be used when comparing multiple option data objects against each other.

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.

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.