Database system interaction embedding and indexing for text retrieval and generation

    公开(公告)号:US12111858B1

    公开(公告)日:2024-10-08

    申请号:US18481036

    申请日:2023-10-04

    CPC classification number: G06F16/3347 G06F16/31 G06N3/0455

    Abstract: A text interaction record including interaction text from one or more messages between a client machine and a service provider is received at a database system. A search vector including a text embedding representing the interaction text in a multi-dimensional vector space may be determined based on the interaction text via a processor at the database system. A reference interaction record including reference interaction text may be retrieved from the database system based on the search vector. The reference interaction record may include a reference vector representing the reference interaction text in the multi-dimensional vector space. Recommended reply text is determined based on the interaction text and the reference interaction text by a large language model configured to generate the recommended reply text in response to a prompt that includes one or more natural language instructions.

    Machine-learning based document recommendation for online real-time communication system

    公开(公告)号:US12153640B2

    公开(公告)日:2024-11-26

    申请号:US18079857

    申请日:2022-12-12

    Abstract: A cloud platform establishes a communication session between an agent and a user. The communication session is over an electrical medium. The cloud platform generates an interface on a client device associated with the agent. A first portion of the interface is configured to exchange messages between the agent and the user for a conversation or otherwise transcribe a conversation between the agent and the user. The cloud platform obtains, at a first time, a set of utterances from a transcript of the conversation. The cloud platform accesses a database including a plurality of articles. The cloud platform generates relevance scores between the conversation and the plurality of articles. The cloud platform then selects a subset of articles having relevance scores above a threshold value or proportion. The identified articles are presented on a second portion of the interface.

    MACHINE-LEARNING BASED DOCUMENT RECOMMENDATION FOR ONLINE REAL-TIME COMMUNICATION SYSTEM

    公开(公告)号:US20240193213A1

    公开(公告)日:2024-06-13

    申请号:US18079857

    申请日:2022-12-12

    CPC classification number: G06F16/9535 G06F16/9538

    Abstract: A cloud platform establishes a communication session between an agent and a user. The communication session is over an electrical medium. The cloud platform generates an interface on a client device associated with the agent. A first portion of the interface is configured to exchange messages between the agent and the user for a conversation or otherwise transcribe a conversation between the agent and the user. The cloud platform obtains, at a first time, a set of utterances from a transcript of the conversation. The cloud platform accesses a database including a plurality of articles. The cloud platform generates relevance scores between the conversation and the plurality of articles. The cloud platform then selects a subset of articles having relevance scores above a threshold value or proportion. The identified articles are presented on a second portion of the interface.

Patent Agency Ranking