Data recommendation method and device, computing equipment and computer readable storage medium

Abstract

The embodiment of the invention relates to the technical field of data processing, and discloses a data recommendation method which comprises the steps that a query request is acquired, wherein the query request comprises to-be-matched data; the to-be-matched data is processed into a target embedding vector, according to the target embedding vector, a target embedding vector hash key value pair is generated, according to the target embedding vector hash key value pair, inquiry in a pre-constructed embedding vector database is performed, and an embedding vector hash key value pair list matched with the to-be-matched data is obtained; the embedding vector database which is constructed in advance comprises a plurality of embedding vector hash key value pairs which are stored in advance; the embedding vector Hash key value pair comprises a locality sensitive Hash value of an embedding vector and the embedding vector itself, and a recommendation result is generated according to the embedding vector hash key value pair list. Through the above mode, the embodiment of the invention realizes the beneficial effect of improving the data recommendation efficiency.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of data processing, and in particular to a data recommendation method, device, computing device, and computer-readable storage medium. Background technique [0002] At present, mainstream recommendation systems mainly have three core and key steps, including feature engineering, recall, and ranking. According to different applications and scenarios, the neighbor recommendation can be reflected in the recall or ranking stage or both stages, and also depends on the output of the feature engineering stage as its input. The idea of ​​collaborative filtering is often used in the implementation of the nearest neighbor recommendation technology. First, construct a vector or a relationship matrix, and calculate the similarity between vectors by some similarity calculation methods (such as cosine similarity) or some weight quantization methods. According to the similarity and vector, matrix ...

AI Technical Summary

Problems solved by technology

[0003] In view of the above problems, embodiments of the present invention provide a data recommendation method, device, computing device, and computer-readable storage medium, which are used to solve the technical problem in the prior art that data recommendation cannot be efficiently performed

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