Design and Implementation of Visual Employment Recommendation System

Abstract

This paper studies the design and implementation of a visual employment recommendation system based on deep learning. The system mainly uses web crawler technology, word segmentation system jieba, Django framework, data analysis algorithm Kmeans, data visualization Echarts framework and other technologies. The system can make two-way precise recommendation for enterprises and fresh graduates to improve employment matching.