Proceedings Design and Implementation of Cultural Communication and Promotion System Based on Big Data

Abstract

In the era of big data, the status quo of continuous change of information has brought about great changes in the mode of public acceptance, cognition and dissemination of information. In the mass change to accept information, cultural space construction should be accordingly strengthened new ways of transmission channel, this paper designed and implemented a kind of new culture promotion system, and put forward the recommendation method based on the culture content, it according to the user the choice or the like of the object (product), recommend similar options for the user. Content-based recommendation does not need to be based on the user’s evaluation of the project, but more needs to use machine learning method to get the user’s interest information from the case of the description of the content characteristics, to find the right efficient media, the right communication method.