公开(公告)号：US12271353B2

公开(公告)日：2025-04-08

申请号：US17809606

申请日：2022-06-29

Applicant: Bytedance Inc.

Inventor： David Alan Johnston ,  Andrew James ,  Pradhee Tandon ,  Sivaramakrishnan Natarajan

IPC: G06F16/215 ,  G06F3/0481 ,  G06F16/28 ,  G06F16/951

Abstract: In general, embodiments of the present invention provide systems and computer readable media for implementing a single data integration platform that supports multiple data access interfaces to a single corpus of stored dynamic data collected from multiple data sources. In embodiments, the data integration platform includes a record tables layer that stores a group of data records and supports a CRUD interface for accessing the data records; a resolution mapping layer that stores a set of entities generated by a many-to-one mapping of data records to entities using entity resolution; and an entities layer that stores resolved entities which may be accessed via either a search interface based on search criteria or a hybrid search interface that supports “get via record id” queries.

公开(公告)号：US12002061B2

公开(公告)日：2024-06-04

申请号：US17454206

申请日：2021-11-09

Applicant: ByteDance Inc.

Inventor： David Alan Johnston ,  Matthew Deland ,  Shawn Jeffrey ,  Taylor Raack

IPC: G06Q30/00 ,  G06F16/00 ,  G06F16/2455 ,  G06Q30/0201

CPC classification number: G06Q30/0201 ,  G06F16/24558

Abstract: Systems, apparatus, and methods for determining unique contacts from a collection or pool of merchant data are discussed herein. Some embodiments may provide for an apparatus including circuitry configured to determine programmatic match results indicating whether different instances of merchant data match (e.g., describe the same contact). The circuitry may further determine probabilities of precision or recall errors with the programmatic match results. Programmatic match results having a high probability of error may be annotated by a user to generate user match results. The user match results may be used to generate a more reliable contacts database including unique contacts, as well as to train and/or update the match scoring algorithm. As such, the accuracy of machine-implemented binary classification is improved.