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KDD
2009
ACM
232views Data Mining» more  KDD 2009»
13 years 12 months ago
Probabilistic latent semantic user segmentation for behavioral targeted advertising
Behavioral Targeting (BT), which aims to deliver the most appropriate advertisements to the most appropriate users, is attracting much attention in online advertising market. A ke...
Xiaohui Wu, Jun Yan, Ning Liu, Shuicheng Yan, Ying...
ICDM
2010
IEEE
157views Data Mining» more  ICDM 2010»
13 years 5 months ago
Privacy Violations Using Microtargeted Ads: A Case Study
In this paper we propose a new class of attacks that exploit advertising systems offering microtargeting capabilities in order to breach user privacy. We study the advertising syst...
Aleksandra Korolova
SIGMOD
1998
ACM
271views Database» more  SIGMOD 1998»
13 years 7 months ago
Towards On-Line Analytical Mining in Large Databases
Great e orts have been paid in the Intelligent Database Systems Research Lab for the research and development of e cient data mining methods and construction of on-line analytical...
Jiawei Han
WWW
2004
ACM
14 years 8 months ago
On mining webclick streams for path traversal patterns
Mining user access patterns from a continuous stream of Web-clicks presents new challenges over traditional Web usage mining in a large static Web-click database. Modeling user ac...
Hua-Fu Li, Suh-Yin Lee, Man-Kwan Shan
IRI
2007
IEEE
14 years 1 months ago
Automated Multimedia Systems Training Using Association Rule Mining
User feedback is widely deployed in recent multimedia research to refine retrieval performance. However, most of the existing online learning algorithms handle interactions of a s...
Na Zhao, Shu-Ching Chen, Stuart Harvey Rubin