Web scraping and naïve bayes classification for job search engine

Slamet, Cepy and Andrian, Rian and Maylawati, Dian Sa'adillah and Suhendar, Suhendar and Darmalaksana, Wahyudin and Ramdhani, Muhammad Ali (2018) Web scraping and naïve bayes classification for job search engine. In: The 2nd Annual Applied Science and Engineering Conference (AASEC 2017).

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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 leadto inefficient runtime. This study proposes a simple method forjob 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 andefficient application for usersto seek a potential job that fit in with their interests.

Item Type: Conference or Workshop Item (Paper)
Subjects: Data Processing, Computer Science
Depositing User: Mr Cepy Slamet
Date Deposited: 22 May 2018 02:47
Last Modified: 04 Apr 2019 03:32
URI: http://digilib.uinsgd.ac.id/id/eprint/5646

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