文献类型：期刊文献

英文题名：Employment Service System Based on Hybrid Recommendation Algorithm

作者：Dong, Zhenqi[1]; Leng, Chunxia[1]; Zheng, Hong[1]

机构：[1] Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, China

年份：2021

卷号：1303

起止页码：368

外文期刊名：Advances in Intelligent Systems and Computing

收录：EI(收录号：20205309706958)

语种：英文

外文关键词：Employment - Recommender systems - Collaborative filtering

摘要：The recommendation system can calculate the similarity between users and items in the system, which is based on different computational methods, analyzing of calculation results, and then calculates the items that may interest the users and recommend those items to users. Collaborative filtering algorithm is a popular algorithm in academia and industry, but it does have certain shortcomings such as cold start and sparse data. In this paper, a hybrid recommendation algorithm is proposed and applied to an employment service system by using job postings from websites obtained by web crawler as the dataset. The experimental result shows that the hybrid recommendation algorithm is able to the accuracy of employment information recommendation to some extent and meet the personalized needs of job-seeking users. ? 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.