INFORMATION RECOMMENDATION METHOD, APPARATUS, DEVICE, AND MEDIUM BASED ON EMBEDDING TABLE COMPRESSION

    公开(公告)号:US20250013615A1

    公开(公告)日:2025-01-09

    申请号:US18595474

    申请日:2024-03-05

    Applicant: ZHEJIANG LAB

    Abstract: An information recommendation method, an apparatus, a device, and a medium based on embedding table compression are provided. The method includes: determining, based on a preset compression ratio, to-be-compressed features and non-compressed features in a to-be-compressed embedding table of a recommendation model, generating a similarity index matrix based on a similarity between the to-be-compressed features and the uncompressed features; generating an index dictionary based on the similarity index matrix; substituting a first feature mapping dictionary based on the index dictionary to generate a second feature mapping dictionary, wherein the first feature mapping dictionary is generated based on a data set; and acquiring to-be-recommended data, replacing features in the to-be-recommended data according to the second feature mapping dictionary, inputting replaced features into the recommendation model, and outputting a prediction result.

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