标题:Real Time Prediction on Revisitation Behaviors of Short-Term Type Commodities
作者:Xu, Xiangzhen; Fu, Jinghua; Shi, Yuliang; Liu, Shijun; Cui, Lizhen
通讯作者:Cui, Lizhen
作者机构:[Shi, Yuliang; Liu, Shijun; Cui, Lizhen] Shandong Univ, Sch Comp Sci & Technol, Jinan 250101, Shandong, Peoples R China.; [Xu, Xiangzhen; Fu, Jinghu 更多
会议名称:17th International Conference on Web Information Systems Engineering (WISE)
会议日期:NOV 08-10, 2016
来源:WEB INFORMATION SYSTEMS ENGINEERING - WISE 2016, PT I
出版年:2016
卷:10041
页码:352-360
DOI:10.1007/978-3-319-48740-3_26
关键词:Revisitation; Feature extraction; Fuzzy comprehensive evaluation method
摘要:With the advent of Internet we have entered a new era, more and more enterprises take the network as the new profit growth point of the marketing channel. The target of network trading platform is to attract consumers firstly. In this paper, we first extract the five common features in customers' visitation behaviors, i.e. commodity's type popularity, commodity's type revisitation ratio, user revisitation ratio, window repeat ratio and brand popularity. These features constitute the major factors that affect people's short-term types of commodity revisitation behaviors. Based on features of revisitation behaviors, we propose method that can quickly predict consumers will have a types of commodity revisitation behavior. The method is based on Fuzzy Comprehensive Evaluation Method, namely FCEM-II. The experiment of our method adopts a large scale real and reliable data set, and the experimental results show that our proposed method are more accurate in the prediction tasks compared with the baselines.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84996483699&doi=10.1007%2f978-3-319-48740-3_26&partnerID=40&md5=a3911571f32af1580b88166649c230be
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