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AssigneeMercari, Inc.
InventorsJohn Alexander Lagerling, Byong Mok Oh, Fritz Mikio Kuribayashi, Takuma Yamaguchi, Rishabh Kumar Shrivastava, Takaya Ukai, Viswakumar Sukeesh Babu
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Disclosed herein are system, computer-program product (non-transitory computer-readable medium), and method embodiments for machine-learning prediction or suggestion based on object identification. A system including at least one processor may be configured to cross-reference an identifier of a selected object with a list of known unique identifiers. The selected object may be selected via received selection. The at least one processor may further retrieve a set of values associated with the identifier of the selected object, upon determining that the list of known unique identifiers includes the identifier of the selected object, and perform machine-learning to derive a predicted-value set based at least in part on the set of values associated with the identifier of the selected object and a category applicable to the selected object. The at least one processor may determine that the predicted-value set satisfies a predetermined confidence condition, and output at least part of the predicted-value set.
A computer-implemented method for updating data, the computer-implemented method comprising:
A non-transitory computer-readable storage medium storing instructions that, when executed by at least one computer processor, cause the at least one computer processor to perform operations comprising:
A system, comprising:
Dependencies are inferred from the claim text.