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» WIM: An Information Mining Model for the Web
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KDD
2008
ACM
211views Data Mining» more  KDD 2008»
14 years 8 months ago
ArnetMiner: extraction and mining of academic social networks
This paper addresses several key issues in the ArnetMiner system, which aims at extracting and mining academic social networks. Specifically, the system focuses on: 1) Extracting ...
Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zha...
WSDM
2009
ACM
172views Data Mining» more  WSDM 2009»
14 years 2 months ago
Clustering the tagged web
Automatically clustering web pages into semantic groups promises improved search and browsing on the web. In this paper, we demonstrate how user-generated tags from largescale soc...
Daniel Ramage, Paul Heymann, Christopher D. Mannin...
DAWAK
2003
Springer
14 years 26 days ago
Designing Web Warehouses from XML Schemas
Web warehousing plays a key role in providing the managers with up-to-date and comprehensive information about their business domain. On the other hand, since XML is now a standard...
Boris Vrdoljak, Marko Banek, Stefano Rizzi
ITCC
2005
IEEE
14 years 1 months ago
A Web Recommendation System Based on Maximum Entropy
We propose a Web recommendation system based on a maximum entropy model. Under the maximum entropy principle, we can combine multiple levels of knowledge about users’ navigation...
Xin Jin, Bamshad Mobasher, Yanzan Zhou
WSDM
2012
ACM
207views Data Mining» more  WSDM 2012»
12 years 3 months ago
Domain bias in web search
This paper uncovers a new phenomenon in web search that we call domain bias — a user’s propensity to believe that a page is more relevant just because it comes from a particul...
Samuel Ieong, Nina Mishra, Eldar Sadikov, Li Zhang