Automated conversation review to surface virtual assistant misunderstandings

    公开(公告)号:US11842410B2

    公开(公告)日:2023-12-12

    申请号:US17814990

    申请日:2022-07-26

    Inventor: Ian Roy Beaver

    CPC classification number: G06Q50/00 G06F16/90332 G06F18/2178 G06F40/35

    Abstract: A scalable system provides automated conversation review that can identify potential miscommunications. The system may provide suggested actions to fix errors in intelligent virtual assistant (IVA) understanding, may prioritize areas of language model repair, and may automate the review of conversations. By the use of an automated system for conversation review, problematic interactions can be surfaced without exposing the entire set of conversation logs to human reviewers, thereby minimizing privacy invasion. A scalable system processes conversations and autonomously marks the interactions where the IVA is misunderstanding the user.

    SYSTEM AND METHOD OF SELECTING HUMAN-IN-THE-LOOP TIME SERIES ANOMALY DETECTION METHODS

    公开(公告)号:US20210042382A1

    公开(公告)日:2021-02-11

    申请号:US16985511

    申请日:2020-08-05

    Abstract: A system and method for selecting an anomaly detection method from among a plurality of known anomaly detection methods includes selecting a set of anomaly detections methods based on characteristics of the time series, such as missing time steps, trend, drift, seasonality and concept drift. From among the applicable anomaly detection methods, the selection may be further informed by annotated predicted anomalies, and based on the annotations, turning the parameters for each respective anomaly detection method. Thereafter, the anomaly detection methods are scored and then further tuned according to human actions in identifying anomalies or disagrees with anomalies in the time series.

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