SYSTEM AND METHOD FOR TRAINING MACHINE LEARNING MODELS FOR RANKING SEARCH RESULTS Russian patent published in 2024 - IPC G06F16/245 

Abstract RU 2829065 C1

FIELD: information technology.

SUBSTANCE: invention relates to a method and a server for ranking digital documents on a digital platform. Method comprises receiving a search query sent to a digital platform, generating a first vector representation characterizing the search query, finding a plurality of digital candidate documents satisfying the search query, obtaining a second vector representation for each digital candidate document from the plurality of digital candidate documents, finding, in each candidate document from the plurality of digital candidate documents, at least one candidate phrase lexically associated with the search query, generating a third vector representation characterizing the at least one candidate phrase, determining, based on the first, second and third vector representations for each candidate document from a plurality of digital candidate documents, a ranking parameter value and ranking the plurality of digital candidate documents depending on the associated ranking parameter values.

EFFECT: high relevance of ranked digital documents to a search query.

20 cl, 9 dwg

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RU 2 829 065 C1

Authors

Boimel Aleksandr Alekseevich

Gusev Daniil Vladimirovich

Kulunchakov Andrei Sergeevich

Mironov Artem Vladimirovich

Dates

2024-10-23Published

2023-12-12Filed