Traditional information extraction methods are difficult to deal with large-scale logis-tics data,resulting in more information noise.Therefore,the real-time extraction of B2C e-com-merce logistics network information based on multi-scale deep learning is proposed.Mining B2C e-commerce logistics network information and preprocessing the collected original e-commerce logistics network information.Multi-scale deep learning is used to reconstruct the features of pre-processed e-commerce logistics information.Multi-scale deep learning captures the features of different scales and generates new feature vectors to extract the reconstructed e-commerce lo-gistics network information.The experimental results show that the research method has less noise content and better extraction effect when extracting c-commerce logistics network infor-mation.
关键词
多尺度深度学习/B2C电商物流/网络信息/实时提取
Key words
multi-scale deep learning/B2C e-commerce logistics/network information/real-time extraction
维普
万方数据