A Novel Framework for Repeat Buyers Prediction with Feature Engineering
Zhang B(张斌); Bin, Zhang
2015-07
会议名称Workshop on Social Influence Analysis, IJCAI, 2015
会议录名称IJCAI
会议日期20150725
会议地点Buenos Aires, Argentina
摘要

In this paper, we report the solution of our team ”Farewell” on the IJCAI 15 competition. This com- petition provides a set of merchants and their cor- responding new buyers acquired during the promo- tion on the ”Double 11” Day and the task is to predict which users will become loyal customers for given merchants in the future. To solve this problem, we firstly do a lot of work in feature engineering. Features are extracted from various aspects and divided into several categories. Be- sides, we adopt some innovative methods to gen- erate latent factor features and user-merchant co- cluster features. In the first stage of the compe- tition, we employ two individual models, Factor- ization Machines(FM) and Gradient Boosting De- cision Tree(GBDT) and we adopt Logistic Regres- sion(LR) model in the second stage. Afterwards, we propose a weighted linear ensemble model to combine results of individual models. Our final re- sult is the blending of FM model and GBDT model in stage 1 and result of LR model in stage 2. 


关键词Feature Engineering
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/11853
专题模式识别国家重点实验室_模式分析与学习
通讯作者Bin, Zhang
作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Zhang B,Bin, Zhang. A Novel Framework for Repeat Buyers Prediction with Feature Engineering[C],2015.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
ijcai15.pdf(133KB)会议论文 开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhang B(张斌)]的文章
[Bin, Zhang]的文章
百度学术
百度学术中相似的文章
[Zhang B(张斌)]的文章
[Bin, Zhang]的文章
必应学术
必应学术中相似的文章
[Zhang B(张斌)]的文章
[Bin, Zhang]的文章
相关权益政策
暂无数据
收藏/分享
文件名: ijcai15.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。