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WWW
2009
ACM
16 years 7 months ago
A dynamic bayesian network click model for web search ranking
As with any application of machine learning, web search ranking requires labeled data. The labels usually come in the form of relevance assessments made by editors. Click logs can...
Olivier Chapelle, Ya Zhang
WWW
2007
ACM
16 years 7 months ago
Web page classification with heterogeneous data fusion
Web pages are more than text and they contain much contextual and structural information, e.g., the title, the meta data, the anchor text, etc., each of which can be seen as a dat...
Zenglin Xu, Irwin King, Michael R. Lyu
CEAS
2004
Springer
16 years 3 days ago
Extracting social networks and contact information from email and the Web
We present an end-to-end system that extracts a user’s social network and its members’ contact information given the user’s email inbox. The system identifies unique people...
Aron Culotta, Ron Bekkerman, Andrew McCallum
SIGIR
2000
ACM
15 years 11 months ago
Hierarchical classification of Web content
This paper explores the use of hierarchical structure for classifying a large, heterogeneous collection of web content. The hierarchical structure is initially used to train diffe...
Susan T. Dumais, Hao Chen
CIKM
2010
Springer
15 years 5 months ago
Selectively diversifying web search results
Search result diversification is a natural approach for tackling ambiguous queries. Nevertheless, not all queries are equally ambiguous, and hence different queries could bene...
Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis