2020 VOL.3 Feb No.1

• Title: Efficient retrieval method of malicious information in multimedia big data network based on human-computer interaction
• Name: Poulo Vassilis
• Company: Catholic University Of KOREA
• Abstract:

  In order to solve the problem of incomplete and low-precision malicious information retrieval in the traditional method, a method for efficiently retrieving malicious information from multimedia big data networks based on human-computer interaction is proposed and designed. On the basis of analyzing the principle of information retrieval, using the form of human-computer interaction to divide the metrics of malicious information, On this basis, the human-computer interactive retrieval logic is established to realize the efficient retrieval of malicious information in multimedia big data networks by means of malicious information clustering. The effectiveness of the retrieval method based on human-computer interaction is determined through experimental demonstration analysis. The results show that the recall rate of this method is 28.31% higher than that of the traditional method, and the retrieval accuracy is extremely high.

• Keyword: Human-Computer Interaction; Big Data Network; Malicious Information; Retrieval Processing; Information Clustering;
• DOI: 10.12250/jpciams2020010118
• Citation form: Poulo Vassilis.Efficient retrieval method of malicious information in multimedia big data network based on human-computer interaction[J]. Computer Informatization and Mechanical System, 2020, vol. 3, pp. 114-120.

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