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	Purchase Prediction via Machine Learning in Mobile Commerce
	Chao Lv ; Yansong Feng ; Dongyan Zhao
	2016
关键词	Purchase Prediction Machine Learning
英文摘要	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.; 1-8
语种	英语
出处	第五届自然语言处理与中文计算会议(NLPCC-ICCPOL2016)
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/480644]
专题	计算机科学技术研究所
推荐引用方式 GB/T 7714	Chao Lv,Yansong Feng,Dongyan Zhao. Purchase Prediction via Machine Learning in Mobile Commerce. 2016-01-01.

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