In order to further solve the problems in promoting the classification of media content in colleges and universities, the effective analysis and understanding of multimedia data content can be better realized based on the characteristics of multimedia data in colleges and universities, combining with the characteristics of rich information, large differences in performance, and large amount of large-scale data. This essay mainly introduces the technology of university media content detection and classification based on information fusion algorithm and focuses on the application of university multimedia content detection, analysis, and understanding, to explore the image discrimination auxiliary attribute feature learning and content association prediction and classification. A benchmark model for media content detection and classification is constructed. Through the model test, it is found that the F 1 value of the model is more than 70%, the check rate is more than 80%, and the recall rate is more than 50%. On this basis, a content detection system based on campus network is constructed.

Abstract. This article starts with an careful analysis of the factors that cause Chinese mathematics graduate's heavy pressure in job hunting and career development, followed by a detailed introduction of American mathematics graduates' positive employment potential and their benign career development prospect. Finally the author puts forward that mathematics majors should plan their curriculum study in relation to their future career development, with the help of systematic, professional career development consultancy and guidance. Suggestions on how to improve mathematics majors employment competitiveness are also provided in this article. Keywords. mathematics graduates; career development; implicationsThe higher education in China has been experiencing a giant progress in recent 30 years and in each year a growing number of university graduates are entering into the ever-crowded job market. According to the Ministry of Education, in 2014, the number of college graduates reaches a new peak with 749 million, an increase of 22 million compared with that of 2013. The fierce competition on graduate job market makes the employment rate a vital concern of families, universities and government. The backwash effect of graduate employment rate on college or university enrollment also reveal itself gradually, and even lead to more unbalanced development of "up" majors and "down" majors. Mathematics is a traditional major in most science and technology universities, and in recent years, it experience continuous depression in job hunting and career development. This article focuses on the career development of mathematics graduates, both in China and America, for purpose of penetrating the fog, finding solutions, and presenting the importance of systematic, professional career planning and guidance.