Open AccessIntelligent chat robot in digital campus based on deep learning
Author(s) -
Yujie Liang,
Ying Yu,
Wenhao Ouyang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1629/1/012079
Subject(s) - chatbot , computer science , robot , encoder , multimedia , complement (music) , human–computer interaction , mode (computer interface) , the internet , world wide web , artificial intelligence , operating system , biochemistry , chemistry , complementation , gene , phenotype
In this paper, two different technologies are adopted to realize the digital campus intelligent chatbot. The robot has three core modules: chat module, campus information module and virtual teaching assistant module. For chat module, this paper uses Encoder-Decoder framework. For the campus information module and virtual teaching assistant module, this paper pursue high precision and adopt retrieval mode. In practice, the two modules implemented by different technical means complement each other, greatly improving the user experience of students.