This paper proposes a recommended method of teaching resource basing on genetic algorithm collects the Chinese learning information of users,quantitates the information and codes for section,used as the initial chromosomes in genetic algorithm.In the vast network Chinese teaching resources,through genetic algorithm,it finds the suitable Chinese learning resources for users,and recommends to the users.The users interests in learning Chinese are greatly improved,and guided to autonomous learning.It also provides a new solution for resources recommendation.