Knowledge base construction method and device, electronic equipment and readable storage device

Abstract

The invention relates to the technical field of data processing, in particular to a knowledge base construction method and device, electronic equipment and a readable storage medium. The method comprises the steps of obtaining a first knowledge base of a target domain, and performing data enhancement processing on the first knowledge base; wherein the first knowledge base is determined according to the video data sample in the target domain; wherein the data enhancement processing comprises the step of adopting a word frequency inverse document frequency algorithm; and determining the first knowledge base after the data enhancement processing as a target knowledge base. By adopting the knowledge base construction method provided by the invention, sparsity of video training data is avoidedthrough enhancement processing on the video data knowledge base, and the knowledge base construction method is particularly suitable for construction of the knowledge base with main data such as education as video data, so that a knowledge spectrogram of a target field taking the video data as a main part is established; and an effective knowledge base is provided for downstream video recommendation by utilizing the knowledge spectrogram.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a knowledge base construction method, device, electronic equipment and readable storage device. Background technique [0002] At present, there is an increasing demand for using big data cloud platforms such as educational video recommendations and user portraits. For this reason, the demand for building knowledge graphs in specific fields such as education and using them for video recommendation is becoming increasingly prominent. However, at present, the problem of building specific professional fields, especially technical fields such as education and finance, is that the number of videos on large data platforms is small, and too little data will cause data sparsity problems, which will result in insufficient data to build suitable training The knowledge graph is the main problem faced by recommender systems in specific professional fields at present. Contents of the...

AI Technical Summary

Problems solved by technology

However, at present, the difficulty in building specific professional fields, especially in technical fields such as education and finance, is that the number of videos on large data platforms is small, and too little data will cause data sparsity problems, which will result in insufficient data to build suitable training programs. The knowledge graph is, which is the main problem faced by recommender systems in specific professional fields

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