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

專利號(hào)
US11616741B2
公開日期
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
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.

說明書

FIG. 2 also includes communication paths 228, 230, and 232. Communication paths 228, 230, and 232 may include the Internet, a mobile phone network, a mobile voice or data network (e.g., a 4G or LTE network), a cable network, a public switched telephone network, or other types of communications networks or combinations of communications networks. Communication paths 228, 230, and 232 may separately or together include one or more communications paths, such as a satellite path, a fiber-optic path, a cable path, a path that supports Internet communications (e.g., IPTV), free-space connections (e.g., for broadcast or other wireless signals), or any other suitable wired or wireless communications path or combination of such paths. The computing devices may include additional communication paths linking a plurality of hardware, software, and/or firmware components operating together. For example, the computing devices may be implemented by a cloud of computing platforms operating together as the computing devices.

權(quán)利要求

1
微信群二維碼
意見反饋