Indexed by:期刊论文

Date of Publication:2015-07-15

Journal:Journal of Computational Information Systems

Included Journals:EI、Scopus

Volume:11

Issue:14

Page Number:5171-5180

ISSN No.:15539105

Abstract:The Web search data, not only reects the focus attention and personalized demand of users, but also contains a group of social or economic behaviors. This paper conducts a prediction model on historical sales data and Web search data. To deal with the issues that the fast fashion product's demand is highly volatile with ever-changing taste of consumers and the fast fashion product's life cycle is very short, the extreme learning machine (ELM) which tends to provide a better generalization performance and much faster learning speed has been adopted to forecast for popular trend of fast fashion products. By comparing with the traditional statistical prediction model, the prediction model proposed in this paper is more accurate after introducing the search data, and this prediction model has stronger ability to predict the inection point of the popular trend. ?, 2015, Journal of Computational Information Systems. All right reserved.