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
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ISSN | 1865-1348 |
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 |
DOI | 10.1007/978-3-030-20485-3_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 | |
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。 |
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