摘要
阐述在大数据环境下,智能推荐技术在就业服务领域的应用,根据不同专业、不同兴趣、不同特征人群在使用搜索引擎时规律和关注点不一样,通过分析进行推荐。探讨个性化推荐算法的特点,通过有效利用智能算法的优势,分析关联信息,保证推荐的准确性,从而提升就业服务的质量。
This paper expounds the application of intelligent recommendation technology in the field of employment services in the big data environment. According to the different laws and concerns of different majors, different interests and different characteristic groups when using the search engine, recommendations are made through analysis. It discusses the characteristics of personalized recommendation algorithm, analyzes related information by making effective use of the advantages of intelligent algorithm, so as to ensure the accuracy of recommendation, so as to improve the quality of employment service.
作者
王志丹
WANG Zhidan(Lijiang Normal College,Yunnan 674100,China)
出处
《集成电路应用》
2021年第12期49-51,共3页
Application of IC
基金
丽江师范高等专科学校2020年校级青年课题项目(QNXM-202002)。
关键词
智能化统计
个性化推荐
智能算法
intelligent statistics
personalized recommendation
intelligent algorithm