Information processing method, information processing device, and computer system

By calculating the similarity of features between the image and natural language domains and combining feature spaces from different domains, the accuracy of machine learning classification tasks is improved, solving the problem of insufficient classification accuracy across cross-domain feature spaces in existing technologies.

CN116136856BActive Publication Date: 2026-07-10KIOXIA CORP

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
KIOXIA CORP
Filing Date
2022-08-01
Publication Date
2026-07-10

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Abstract

Provided is an information processing method, an information processing device, and a computer system that improve the accuracy of a machine learning task. The information processing method of the present embodiment includes: calculating a first feature amount of a first domain of query data (S22); calculating a plurality of first similarities between the first feature amount and each of a plurality of second feature amounts within a first feature amount space of the first domain (S23); based on the first similarities, obtaining a plurality of third feature amounts of a second domain that are associated with one or more feature amounts selected from the plurality of second feature amounts from a second feature amount space of the second domain (S25); calculating one or more fourth feature amounts of the second domain for a plurality of selection items related to the query data (S27); calculating a plurality of second similarities between the third and fourth feature amounts (S28); and selecting an answer to the query data from a plurality of answer candidates corresponding to the plurality of third feature amounts based on the second similarities (S29).
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