基于用户需求的计算机专业教学资源推荐方法

Recommended method of teaching resource for computer major based on user requirement

传统计算机专业教学资源推荐方法旨在直接对教学资源推荐算法进行设计,未构建专业的教学资源推荐模型,存在推荐效率低等问题。文章提出了基于用户需求的计算机专业教学资源推荐方法,该方法可构建专业教学资源推荐模型并确定计算机教育资源的语义特征,从而基于用户需求完成教学资源推荐算法的设计,进而将模型和推荐算法应用于计算机专业教学的字眼推荐流程中,旨在实现计算机专业教学资源的精准推荐。经对比实验证明,该方法能够缩短计算机教学资源的推荐时间并提高推荐效率。

The traditional teaching resource recommendation methods for computer majors aim to directly design teaching resource recommendation algorithms,without constructing a professional teaching resource recommendation model,which has problems such as low recommendation efficiency.This article proposes a computer professional teaching resource recommendation method based on user requirement.This method can construct a professional teaching resource recommendation model and determine the semantic features of computer education resources,thereby completing the design of teaching resource recommendation algorithms based on user requirement.The model and recommendation algorithms are then applied to the word recommendation process of computer professional teaching,aiming to achieve accurate recommendation of computer professional teaching resources.Through comparative experiments,it has been proven that this method can shorten the recommendation time of computer teaching resources and improve recommendation efficiency.