行业资讯

基于知识图谱的人岗推荐系统构建

基于知识图谱的人岗推荐系统构建.

Abstract: To solve the three common problems in the traditional person-post matching recommended system: data sparsiness, data cold start and low data utilization rate, this paper proposed knowledge graph-based person-post matching recommended system construction methods. By improving traditional recommendations, it integrated knowledge graph as auxiliary side information to the recommended system to carry out person-post matching recommended system, effectively solved data sparsiness and data cold start issues, and introduced knowledge graph completion algorithm to improve data utilization, the proposed method could reach 92 % in the recommended accuracy rate, and the accuracy rate was increased by about 1 % more than the existing person-post matching recommended methods. The experimental results show that the method is feasible, and the addition of the knowledge graph can improve the recommendation effect of the person-post matching recommended system. Copyright of Application Research of Computers / Jisuanji Yingyong Yanjiu is the property of Application Research of Computers Edition and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. For access to this entire article and additional high quality information, please check with your college/university library, local public library, or affiliated institution.,