DATA RETRIEVAL USING REINFORCED CO-LEARNING FOR SEMI-SUPERVISED RANKING

    公开(公告)号:US20230053009A1

    公开(公告)日:2023-02-16

    申请号:US17972459

    申请日:2022-10-24

    Applicant: Snap Inc.

    Abstract: A computer-implement method comprises: training a classifier with labeled data from a dataset; classifying, by the trained classifier, unlabeled data from the dataset; providing, by the classifier to a policy gradient, a reward signal for each data/query pair; transferring, by the classifier to a ranker, learning; training, by the policy gradient, the ranker; ranking data from the dataset based on a query; and retrieving data from the ranked data in response to the query.

    Data retrieval using reinforced co-learning for semi-supervised ranking

    公开(公告)号:US11544553B1

    公开(公告)日:2023-01-03

    申请号:US16448749

    申请日:2019-06-21

    Applicant: Snap Inc.

    Abstract: A computer-implement method comprises: training a classifier with labeled data from a dataset; classifying, by the trained classifier, unlabeled data from the dataset; providing, by the classifier to a policy gradient, a reward signal for each data/query pair; transferring, by the classifier to a ranker, learning; training, by the policy gradient, the ranker; ranking data from the dataset based on a query; and retrieving data from the ranked data in response to the query.

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