Purchase Prediction via Machine Learning in Mobile Commerce

摘要：

　　In this paper,we propose a machine learning approach to solve the purchase prediction task launched by the Alibaba Group.In detail,we treat this task as a binary classification problem and explore five kinds of features to learn potential model of the in uence of historical behaviors.These features include user quality,item quality,category quality,user-item interaction and user-category interaction.Due to the nature of mobile platform,time factor and spacial factor are considered specially.Our approach ranks the 26th place among 7186 teams in this task.

关键词： Purchase Prediction Machine Learning

作者: Chao Lv Yansong Feng Dongyan Zhao

作者单位: Institute of Computer Science and Technology Peking University,Beijing 100871,China

会议类型: 国际会议

会议名称: 第五届自然语言处理与中文计算会议(NLPCC-ICCPOL2016)

会议地点: 昆明

会议语种:英文

页码: 1-8

在线出版日期: 2016-12-02（万方平台首次上网日期，不代表论文的发表时间）