Research on Improvement of Mass Multimedia Information Filtering Technology Under Multi - Data Inflow

摘要

In order to solve the problems of poor timeliness and low accuracy of traditional information filtering, the mass multimedia information filtering technology under multi-data influx was improved. Combined with the adaptive top-level feature filtering algorithm, the screening matrix of bad content in media information is designed, and the information keyword feature parameters are calculated. Combined with the calculation results, the filtering rules of combined network information are formulated, and the structure of multimedia information filtering program is improved based on the filtering rules of network information. By optimizing the information data filtering feature capture module and improving the logical relationship of information filtering, the improvement of mass multimedia information filtering technology under the influx of multiple data is completed. Finally, through experiments, it is proved that the improved effect of mass multimedia information filtering technology combined with adaptive top-level feature filtering algorithm under multi-data influx has significantly improved the accuracy and timeliness of traditional information filtering methods, and fully meets the research requirements.