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Systems and methods for a two-tier machine learning model for generating conversational responses

專(zhuān)利號(hào)
US11616741B2
公開(kāi)日期
2023-03-28
申請(qǐng)人
Capital One Services, LLC（US VA McLean）
發(fā)明人
Kunlaya Soiaporn; Victor Alvarez Miranda; Pamela Katali; Arturo Hernandez Zeledon; Rui Zhang; Kwan-Yuet Ho
IPC分類(lèi)
H04L51/02; G06K9/62; G10L15/16; G06N20/20
技術(shù)領(lǐng)域
learning,model,intent,machine,user,may,tier,or,in,cluster
地域： VA VA McLean

摘要

Methods and systems are described for generating dynamic conversational responses using two-tier machine learning models. The dynamic conversational responses may be generated in real time and reflect the likely goals and/or intents of a user. The two-tier machine learning model may include a first tier that determines an intent cluster based on a feature input, and a second tier that determines a specific intent from the cluster.

說(shuō)明書(shū)

Various other aspects, features, and advantages of the invention will be apparent through the detailed description of the invention and the drawings attached hereto. It is also to be understood that both the foregoing general description and the following detailed description are examples and not restrictive of the scope of the invention. As used in the specification and in the claims, the singular forms of “a,” “an,” and “the” include plural referents unless the context clearly dictates otherwise. In addition, as used in the specification and the claims, the term “or” means “and/or” unless the context clearly dictates otherwise. Additionally, as used in the specification “a portion,” refers to a part of, or the entirety of (i.e., the entire portion), a given item (e.g., data) unless the context clearly dictates otherwise.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 shows an illustrative user interface for presenting dynamic conversational responses using two-tier machine learning models, in accordance with one or more embodiments.

FIG. 2 is an illustrative system for generating dynamic conversational responses using two-tier machine learning models, in accordance with one or more embodiments.

FIG. 3 is an illustrative model architecture a two-tier machine learning model, in accordance with one or more embodiments.

FIG. 4 shows a flowchart of the steps involved in generating dynamic conversational responses using two-tier machine learning models, in accordance with one or more embodiments.

權(quán)利要求

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