Research on the Information Credibility Modeling Method Based on Big Data

Abstract

With the advent of the era of big data, the amount of data is growing exponentially. The difficulty of data management, analysis and application is also multiplied. The authenticity and credibility of data become more and more important. Authentic and reliable information can provide important help for people's decision-making. But in many cases, the authenticity of the data still needs to be judged and confirmed. This paper proposes a modeling method for automatically analyzing the credibility of big data. Taking hundreds of public resumes downloaded from the Internet as data sources, this paper proposes a modeling method based on age, education, position and identity to analyze the resume. The results were objective and effective. This method explores the transformation of traditional manual review method of resume information, breaks through the problem that cannot be manually reviewed due to the massive growth of resume information in the era of big data, and explores new ideas for modeling and analyzing the credibility of automatic evaluation of big data.