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 Res Inst, Jinan 250014, Shandong, Peoples R China.; [Hou Jidong] Jinan Shandong Tobacco Co Ltd, Jinan 2500 更多
会议名称：International Conference on Intelligent Transportation, Big Data and Smart City (ICITBS)
会议日期：DEC 19-20, 2015
来源：2015 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA AND SMART CITY (ICITBS)
关键词：Tobacco brand; Personalized recommendation; User similarity; Cosine; distance
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.