Education for adults has been a huge success in meeting the ever-increasing need for credential holders in the modern world. People may get the knowledge they need with the use of online training tools, which play a crucial role in adult education. Recommending resources for online training in adult education is a challenge that general resource screening cannot address. Consequently, in order to assess and analyze network training resources, this article suggests a customized collaborative filtering and recommendation solution. The first step in reducing interference elements in network training resources is to utilize computer technology to categorize them, and then to split indications according to the needs of those resources. Following this, a network training resource plan is created, and the outcomes of online training resources for adult education are thoroughly examined using computer technology. The above analysis shows that online training can improve students’ personal ability and optimize knowledge, with an optimization rate of more than 35%, and at the same time, it also produces knowledge content and knowledge structure. The overall adjustment makes it more in line with the requirements, and the adjustment assistance is greater than 20%. So online training can promote the optimization of knowledge.