Implementation of intelligent recommendation system for learning resources

With the development of internet and information technology, educational informatization is increasingly focusing on the use of modern technology to provide powerful teaching assistance. Learning resources intelligent recommendation is essential in Smart Education. The paper proposes two aspects of recommendation strategy. First is the basic recommendation strategy, which includes teaching process, error records and learning resources label record to recommend learning resources. Second is the student based collaborative filtering algorithm that uses genetic algorithm to optimize the interest degree function. It will recommend learning resources to students accurately and meet the students' learning needs.