Design of Intelligent Film and Television Advertisements Recommendation System Based on Digital Media and Decision Tree

摘要

Design of modern intelligent film and television advertisements recommendation system based on digital media and decision tree is studied in this paper. The characteristic of rough set theory is that there is no need to specify the general quantitative description of certain characteristics and attributes in advance, and it directly starts from the description set of the given problem, through just the data structure and the pattern of the framework to construct the model. Hence, it is applied to the recommendation of smart data. Further, the data processing models are applied to pre-process the datasets, and then the intelligent model is combined for performing a comprehensive analysis. Here, the proposed model is applied on the multimedia systems. The comparison results have shown satisfactory results.