摘要
Abstract
Nowadays, with the development of Internet technology, countless information flow is affecting our daily work and life. Consequently, to improve the utilization of information and access information resources which we need has become an urgent problem. With this question, the article implements a personalized recommendation module based on user data. Based on coding the clouds website, the article firstly sets up the database and data dictionary, which analyzes the user’s daily behaviors, and gets the user’s key words in the data dictionary. Then it mapped the user’s interest in the each keyword, calculated the distance between the user and keywords of the course. At last, this system recommended the courses with the highest similarity. By making full use of user ’s daily questions and answers, we can obtain the foundation of personalized recommendation. Finally, the article figures out that this system is feasible and effective.关键词
用户数据/个性化推荐模块/数据字典/余弦相似度Key words
User data/Personalized recommendation/Data dictionary/Cosine similarity分类
信息技术与安全科学
