Research On The Mode Of Text Content Recommendation System Supported By Intelligent Technology

With the development of smart recommendation technology,the smart recommendation model has also been applied in all walks of life.At this stage,the application of the recommendation model in content distribution in the content industry has become mainstream.The content recommendation mode provides users with a high-efficiency,high-satisfying reading experience,and solves the information redundancy problem to some extent.But at the same time,the content recommendation model has brought unprecedented problems to the content industry.How to take advantage of the smart recommendation mode,how to avoid the drawbacks of the smart recommendation mode has become a major issue.This paper firstly analyzes the development of the content recommendation model by applying the literature analysis method,case analysis method and interdisciplinary research method to the application system of the recommendation system in the content industry,and then the specific recommendation mode applied to the content field at the current stage.In summary,the content recommendation system is roughly divided into two categories: "Today's headlines","a little information" and Weibo.The content-based recommendation system and the social-based recommendation system.The important links of these two recommendation systems are compared,analyzed and studied based on the theoretical level of communication.The content-based recommendation system is summarized from the user analysis,content analysis and system analysis.The user-based attribute analysis,user click analysis,user geographic analysis and similar user analysis summarize the social-based recommendation system.The recommendation system also makes a detailed analysis of the recommended models applied by the two recommendation systems.Furthermore,the development of the dissemination characteristics of these recommendation models at the current stage is summarized:(1)The content recommendation technology supported by intelligent technology caters to the user's individualization and customization,and accelerates the communication efficiency;(2)The recommendation technology is on the content platform.Use,increase user stickiness;(3)application of intelligent recommendation technology,reconstructed content ecology;(4)"information mortuary" caused by recommendation mode at the current stage;(5)"super panoramic prison" caused by intelligent mode Reflection.The impact of the recommendation model on the contentindustry's content ecology and the limitations of the smart recommendation model in the current stage of the content industry are also described:(1)the lack of supervision on the content;(2)the technical limitations of the current smart recommendation model.In view of the development of the recommendation model at this stage,it provides inspiration for the more stable development of the recommendation model in the future.Finally,the development of the content recommendation model has put forward higher requirements for content producers,platform parties and users themselves.Based on the advancement of content recommendation technology,the development of media technology has once again triggered the academic community to reflect on the theory of good and evil.In view of the development of the recommendation model at this stage,it provides inspiration for the more stable development of the recommendation model in the future:(1)Content recommenders should pay attention to their role change,from service users to guide users;(2)content industry,should guarantee The quality of the content source;(3)from the "audience" to the "user",the quality of the people should be improved.