Pinned Repositories
A-Basic-Information-Retrieval-System-Using-Inverted-Index
Project Assignment for Information Retrieval & Analysis
Automated-Job-Resume-Matching-Solution
According to a 2015 study on job seeking behavior by Pew Research Center, 79% of the job seekers utilized the online resources for their most recent employment (Aaron ,2015). This study result suggests that the online job boards become the major channel for job seekers in the digital era. However, another finding in the study indicates that most of the job seekers fail to match their experiences with the job requirements and spend hours on job board to apply job which is not seen to be suitable (Aaron, 2015). Additionally, Dr. John Sullivan conducted a similar research in 2013 which highlighted some interesting aspects: on average, 250 resumes are received for each job opening by the major organizations, more than 50% of the resumes does not meet the minimum requirement (John, 2013). This means the time our recruiter spends on these 50% of the resumes for each job is wasted. From both candidate and recruiter’s points of view, the phenomenon may suggest that the traditional online job board does not seem to simplify the job application process or reduce the effort required from both parties. With this challenge getting bigger and bigger, the demand to automate the resume - job matching process is getting increased as well. For instance, the content - based recommendation system (CBR) is introduced to analyze the job description to identify the potential area of interest to the job seekers (Shiqiang et al., 2016). To apply the concept in Singapore local context, our team has conducted a text mining project based on the data acquired from the major online job board in Singapore. The primary objective of this project is to create a machine learning model to accelerate the job - resume matching process. The detail of the text mining methodology and results are presented in the following sections.
fks
前端技能汇总 Frontend Knowledge Structure
HenryZ_Carousel_Figure-React
用React封装的简单轮播图组件
incubator-echarts
A powerful, interactive charting and visualization library for browser
JD_demo
基于React，React Router开发的京东移动web_demo
Leetcode
Deal with Leetcode problems in Javascript.
Prediction-of-Airbnb-new-user-booking
A kaggle data mining project, refer to https://www.kaggle.com/c/airbnb-recruiting-new-user-bookings
Resume
Semantic-UI
Semantic is a UI component framework based around useful principles from natural language.
superhen's Repositories
superhen/Automated-Job-Resume-Matching-Solution
According to a 2015 study on job seeking behavior by Pew Research Center, 79% of the job seekers utilized the online resources for their most recent employment (Aaron ,2015). This study result suggests that the online job boards become the major channel for job seekers in the digital era. However, another finding in the study indicates that most of the job seekers fail to match their experiences with the job requirements and spend hours on job board to apply job which is not seen to be suitable (Aaron, 2015). Additionally, Dr. John Sullivan conducted a similar research in 2013 which highlighted some interesting aspects: on average, 250 resumes are received for each job opening by the major organizations, more than 50% of the resumes does not meet the minimum requirement (John, 2013). This means the time our recruiter spends on these 50% of the resumes for each job is wasted. From both candidate and recruiter’s points of view, the phenomenon may suggest that the traditional online job board does not seem to simplify the job application process or reduce the effort required from both parties. With this challenge getting bigger and bigger, the demand to automate the resume - job matching process is getting increased as well. For instance, the content - based recommendation system (CBR) is introduced to analyze the job description to identify the potential area of interest to the job seekers (Shiqiang et al., 2016). To apply the concept in Singapore local context, our team has conducted a text mining project based on the data acquired from the major online job board in Singapore. The primary objective of this project is to create a machine learning model to accelerate the job - resume matching process. The detail of the text mining methodology and results are presented in the following sections.
superhen/Prediction-of-Airbnb-new-user-booking
A kaggle data mining project, refer to https://www.kaggle.com/c/airbnb-recruiting-new-user-bookings
superhen/A-Basic-Information-Retrieval-System-Using-Inverted-Index
Project Assignment for Information Retrieval & Analysis
superhen/fks
前端技能汇总 Frontend Knowledge Structure
superhen/HenryZ_Carousel_Figure-React
用React封装的简单轮播图组件
superhen/incubator-echarts
A powerful, interactive charting and visualization library for browser
superhen/JD_demo
基于React，React Router开发的京东移动web_demo
superhen/Leetcode
Deal with Leetcode problems in Javascript.
superhen/Resume
superhen/Semantic-UI
Semantic is a UI component framework based around useful principles from natural language.
superhen/Tencent-Interview-App
腾讯实习生SNG雏鹰计划mini项目参赛作品 企鹅伴面 - 金奖
superhen/Web-Crawling-and-Analysis-Project---Stproperty.sg
Web-Crawling-and-Analysis-Project---Stproperty.sg
superhen/33-js-concepts
:scroll: 每个 JavaScript 工程师都应懂的33个概念 @leonardomso
superhen/ant-design
🌈 A UI Design Language and React UI library
superhen/Boo
Boo - A beautiful, clean and responsive theme for Ghost.
superhen/demo-icon
superhen/echarts-stat
Statistics tool for ECharts
superhen/figma-icon-automation
A figma plugin that help you convert your icons' design file to react component and publish to NPM directly.
superhen/iptv
Collection of 8000+ publicly available IPTV channels from all over the world
superhen/juuust-react-icon
React icons automation with Figma.
superhen/react-native-elements-storybook
Storybook for React Native Elements UI Library
superhen/storybook
📓 The UI component explorer. Develop, document, & test for React, Vue, Angular, Ember, Web Components, & more!
superhen/typora-vue-theme
This is a typora theme inspired by Vue document style. 一个类似于 Vue 文档风格的 Typora Markdown 编辑器主题。
superhen/Vue
start vue study~