Web Scraping and Na?ve Bayes Classification for Job Search Engine

2nd Annual Applied Science and Engineering Conference

工业技术;自然科学

Slamet, C.^1 ; Andrian, R.^1 ; Maylawati, D.S.^1 ; Suhendar^1 ; Darmalaksana, W.^2 ; Ramdhani, M.A.^1

Teknik Informatika, Fakultas Sains Dan Teknologi, UIN Sunan Gunung Djati, Bandung, Indonesia^1

Fakultas Usuludin, UIN Sunan Gunung Djati, Bandung, Indonesia^2

关键词: Availability forms;    Bayes classification;    Information overflows;    Runtimes;    SIMPLE method;    Web scrapings;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/288/1/012038/pdf
DOI  :  10.1088/1757-899X/288/1/012038

来源: IOP

【 摘 要 】

Many organisations (government of non-government) use websites to share information of new recruitment for the workers. This information overflows on thousands of sites with various attributes and criteria. However, this availability forms a complex puzzle in the selection process and lead to inefficient runtime. This study proposes a simple method for job searching simplification through a construction and collaboration of web scraping technique and classification using Naïve Bayes on search engine. This study is resulting an effective and efficient application for users to seek a potential job that fit in with their interests.