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2021 | OriginalPaper | Chapter

Employment Service System Based on Hybrid Recommendation Algorithm

Authors : Zhenqi Dong, Chunxia Leng, Hong Zheng

Published in: Big Data Analytics for Cyber-Physical System in Smart City

Publisher: Springer Singapore

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Abstract

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.

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Metadata
Title
Employment Service System Based on Hybrid Recommendation Algorithm
Authors
Zhenqi Dong
Chunxia Leng
Hong Zheng
Copyright Year
2021
Publisher
Springer Singapore
Book
Big Data Analytics for Cyber-Physical System in Smart City

Print ISBN: 978-981-334-573-7

Electronic ISBN: 978-981-334-572-0

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-33-4572-0_54

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