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SEBD
2008
177views Database» more  SEBD 2008»
14 years 11 months ago
Using PageRank in Feature Selection
Abstract. Feature selection is an important task in data mining because it allows to reduce the data dimensionality and eliminates the noisy variables. Traditionally, feature selec...
Dino Ienco, Rosa Meo, Marco Botta
ECIR
2009
Springer
15 years 7 months ago
Regression Rank: Learning to Meet the Opportunity of Descriptive Queries
Abstract. We present a new learning to rank framework for estimating context-sensitive term weights without use of feedback. Specifically, knowledge of effective term weights on ...
Matthew Lease, James Allan, W. Bruce Croft
94
Voted
IRAL
2003
ACM
15 years 3 months ago
Temporal ranking for fresh information retrieval
In business, the retrieval of up-to-date, or fresh, information is very important. It is difficult for conventional search engines based on a centralized architecture to retrieve ...
Nobuyoshi Sato, Minoru Uehara, Yoshifumi Sakai
69
Voted
ECIR
2003
Springer
14 years 11 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
ACMSE
2004
ACM
15 years 3 months ago
SA_MetaMatch: relevant document discovery through document metadata and indexing
SA_MetaMatch, a component of the Standards Advisor (SA), is designed to find relevant documents through matching indices of metadata and document content. The elements in the meta...
Hiu S. Yau, J. Scott Hawker