Core Technology Optimization of Intelligent Financial Technology Based on Collaborative Filtering Algorithm in Big Data Environment

Abstract

With the improvement of people’s economic level, people pay more attention to financial investment. At present, the financial industry provides customers with a variety of investment services, but it has always been unable to provide targeted services for customers. Based on this, this paper studies the optimization of intelligent financial technology core technology based on collaborative filtering algorithm in the big data environment. On the basis of a simple analysis of the application of financial core technology and the research status of collaborative filtering algorithm, this paper constructs an application model of intelligent financial collaborative filtering algorithm. In view of the shortcomings of collaborative filtering algorithm, it uses user-based clustering algorithm to improve the collaborative filtering algorithm. According to the frequency of customers’ access to financial products, the attention model is established and simulated. The results show that the collaborative filtering optimization algorithm used in this paper can reduce the absolute error of recommendation and improve the accuracy.

Recommendation Algorithm of Web-Based Learning Resources considering Timeliness and Popularity

“…System Model. Figure 1 provides the overall architecture of the TRCP recommendation [21][22][23][24] algorithm. In this method, the matrix decomposition model with time factors is used to calculate the implicit relationship between learners and classified learning resources from the behavior records of learning resources and the learners' preferences for all kinds of learning resources are obtained.…”

Retracted: Core Technology Optimization of Intelligent Financial Technology Based on Collaborative Filtering Algorithm in Big Data Environment

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”