Label recommendation method and device and readable medium

Abstract

The invention discloses a label recommendation method and device and a readable medium, and relates to the field of label recommendation. The method comprises the steps of obtaining a target account and a target resource; determining a recommendation value of a label through a label recommendation model decomposed by the tensor, the label recommendation model being composed into a core tensor anda factor matrix by the tensor, a target sub tensor in n sub tensors of the core tensor being correspondingly multiplied by the factor matrix, and the other sub tensors being 0; and determining n labels with the highest recommendation value in the label data as labels recommended to the target account. In the process of recommending the labels through the label recommendation model, the element inother sub tensors except the target sub tensor in the core tensor is 0, namely in the equality relationship, the part participating in the equality relationship in the core tensor only comprises thepart corresponding to the target sub tensor, and the rest part does not participate in the equality relationship, so that the problem of overhigh time complexity caused by the complete three-dimensional core tensor is avoided.

Description

technical field [0001] The embodiments of the present application relate to the field of label recommendation, and in particular to a label recommendation method, device and readable medium. Background technique [0002] Personalized tags refer to the form in which users mark resources through tags in the tag library, where resources can be any form of data, such as: music, videos, products in shopping applications, pictures, etc., and personalized tags The recommendation system is used to recommend candidate tags for labeling the resource to the user while displaying the resource. The user can select one or more tags from the candidate tags for tagging, or select other tags from the tag library for tagging. label. [0003] In related technologies, since the process of tagging resources involves the interaction relationship among three dimensions of users, resources, and tags, a Tucker Decomposition (Tucker Decomposition, TD) model is provided. The specific form of the TD m...

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Problems solved by technology

[0007] The embodiment of the present application provides a label recommendation method, device and readable medium, which can solve the problem that the time complexity of TD model training and prediction is relatively high, and the time spent on training and prediction will be relatively high

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