科研成果详情

题名Profile Inference from Heterogeneous Data: Fundamentals and New Trends
作者
发表日期2019
会议名称22nd International Conference on Business Information Systems (BIS)
会议录名称Lecture Notes in Business Information Processing
ISSN1865-1348
卷号353
页码122-136
会议日期JUN 26-28, 2019
会议地点Seville
会议举办国SPAIN
摘要

One of the essential steps in most business is to understand customers’ preferences. In a data-centric era, profile inference is more and more relaying on mining increasingly accumulated and usually anonymous (protected) data. Personalized profile (preferences) of an anonymous user can even be recovered by some data technologies. The aim of the paper is to review some commonly used information retrieval techniques in recommendation systems and introduce new trends in heterogeneous information network based and knowledge graph based approaches. Then business developers can get some insights on what kind of data to collect as well as how to store and manage them so that better decisions can be made after analyzing the data and extracting the needed information.

关键词Heterogeneous data Information network Recommendation systems Similarity User profile
DOI10.1007/978-3-030-20485-3_10
URL查看来源
收录类别CPCI-S
语种英语English
WOS研究方向Computer Science
WOS类目Computer Science, Information Systems ; Computer Science, Theory & Methods
WOS记录号WOS:000490868600010
Scopus入藏号2-s2.0-85068132042
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/11508
专题个人在本单位外知识产出
通讯作者Zhu, Shengxin
作者单位
Department of Matheamtics,Xi’an Jiaotong Liverpool University,Suzhou,China
推荐引用方式
GB/T 7714
Lu, Xin,Zhu, Shengxin,Niu, Qianget al. Profile Inference from Heterogeneous Data: Fundamentals and New Trends[C], 2019: 122-136.
条目包含的文件
条目无相关文件。
个性服务
查看访问统计
谷歌学术
谷歌学术中相似的文章
[Lu, Xin]的文章
[Zhu, Shengxin]的文章
[Niu, Qiang]的文章
百度学术
百度学术中相似的文章
[Lu, Xin]的文章
[Zhu, Shengxin]的文章
[Niu, Qiang]的文章
必应学术
必应学术中相似的文章
[Lu, Xin]的文章
[Zhu, Shengxin]的文章
[Niu, Qiang]的文章
相关权益政策
暂无数据
收藏/分享
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。