Research on the Dynamic and Automatic Adaptive Individual Service in E-commerce Based on Neural Network
The users interests are always changed with time in Electronic Commerce. This paper constitute a neural network, with input multi-nerve information consisted of content characteristics of web page, users apparent and implicit behavioral characteristics. Finally provide more accurate individual service through learning and adjusting the user needing priority, so that it can automatic adapt to users infesting.
neural network Electronic Commerce automatic adaptive
Qin Liu
Department of Management, Hubei University Zhixing College, Wuhan, 400000, China
国际会议
第八届武汉电子商务国际会议(The Eighth Wuhan International Conference on E-Business)
武汉
英文
2569-2574
2009-05-30(万方平台首次上网日期,不代表论文的发表时间)