标题:An intelligent and personalized tobacco brand recommendation method
作者:Song, Nan ;Hou, Jidong ;Liu, Peijiang ;Han, Huijian ;Liu, Zheng ;Zhang, Rui
作者机构:[Song, Nan ;Liu, Peijiang ] Shandong Tobacco Research Institute, Ji'nan, Shandong; 250014, China;[Han, Huijian ;Liu, Zheng ;Zhang, Rui ] Shandong Univ 更多
会议名称:International Conference on Intelligent Transportation, Big Data and Smart City, ICITBS 2015
会议日期:December 19, 2015 - December 20, 2015
来源:Proceedings - 2015 International Conference on Intelligent Transportation, Big Data and Smart City, ICITBS 2015
出版年:2015
页码:98-101
DOI:10.1109/ICITBS.2015.30
摘要:This paper aims to solve the intelligent and personalized tobacco brand recommendation problem, which greatly affects the sales performance of tobacco enterprises. Firstly, we discuss how to mine the internal correlations between different users to compute user similarity. Particularly, we estimate user similarity by constructing user feature vectors using Cosine distance. Secondly, a novel intelligent and personalized tobacco brand recommendation algorithm is given, and the top ranked tobacco brands are output as the tobacco brand recommendation results. Finally, experiments test the effectiveness of the proposed algorithm by two main aspects, and positive results are achieved.
© 2016 IEEE.
收录类别:EI
资源类型:会议论文
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