User intention prediction for trigger-action programming rule using multi-view representation learning

Gang Wu, Liang Hu, Yuxiao Hu, Yongheng Xing, Feng Wang

Abstract: Highlights•Multi-view representation learning framework for user intention prediction in TAP.•Design user, developer, and knowledge views for enriched intention understanding.•Propose a transformer-based method for fusing representations from different views.•Extensive experiments verify the effectiveness of the proposed framework.