Application of recommendation algorithm in the construction of specialized innovation and integration courses

Universities play a vital role in promoting the implementation of the "innovation-driven development strategy", and it is particularly urgent to lead the reform of the education and teaching of mass innovation (innovation and entrepreneurship) in universities with innovative thinking. This paper focuses on "personalized learning" as a new engine to promote the teaching practice of mass entrepreneurship education, and puts forward a curriculum construction scheme of "combining professional and innovation and entrepreneurship" with recommendation algorithm. Through the use of recommendation algorithms, this program effectively matches "innovation needs" with "professional needs", so as to tailor a personalized learning path for each student, and comprehensively enhance students' independent learning ability and innovative problem-solving ability.