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» Combination of Document Priors in Web Information Retrieval
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ECIR
2003
Springer
13 years 9 months ago
Hierarchical Indexing and Flexible Element Retrieval for Structured Document
As more and more structured documents, such as SGML or XML documents become available on the Web, there is a growing demand to develop effective structured document retrieval which...
Hang Cui, Ji-Rong Wen, Tat-Seng Chua
SAC
2009
ACM
14 years 2 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
ECIR
2009
Springer
14 years 5 months ago
Combination of Documents Features Based on Simulated Click-through Data
Many different ranking algorithms based on content and context have been used in web search engines to find pages based on a user query. Furthermore, to achieve better performance ...
Ali Mohammad Zareh Bidoki, James A. Thom
SIGIR
2002
ACM
13 years 7 months ago
Two-stage language models for information retrieval
The optimal settings of retrieval parameters often depend on both the document collection and the query, and are usually found through empirical tuning. In this paper, we propose ...
ChengXiang Zhai, John D. Lafferty
ICPR
2008
IEEE
14 years 9 months ago
Combining content and structure similarity for XML document classification using composite SVM kernels
Combination of structure and content features is necessary for effective retrieval and classification of XML documents. Composite kernels provide a way for fusion of content and s...
Pabitra Mitra, Saptarshi Ghosh