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» A kernel-based approach to document retrieval
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EDBT
2006
ACM
169views Database» more  EDBT 2006»
15 years 10 months ago
Feedback-Driven Structural Query Expansion for Ranked Retrieval of XML Data
Relevance Feedback is an important way to enhance retrieval quality by integrating relevance information provided by a user. In XML retrieval, feedback engines usually generate an ...
Ralf Schenkel, Martin Theobald
ACL
2009
14 years 7 months ago
Optimizing Language Model Information Retrieval System with Expectation Maximization Algorithm
Statistical language modeling (SLM) has been used in many different domains for decades and has also been applied to information retrieval (IR) recently. Documents retrieved using...
Justin Liang-Te Chiu, Jyun-Wei Huang
ICML
2009
IEEE
15 years 10 months ago
BoltzRank: learning to maximize expected ranking gain
Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
Maksims Volkovs, Richard S. Zemel
RIAO
2007
14 years 11 months ago
XML Fragments Extended with Database Operators
XML documents represent a middle range between unstructured data such as textual documents and fully structured data encoded in databases. Typically, information retrieval techniq...
Yosi Mass, Dafna Sheinwald, Benjamin Sznajder, Siv...
ICDM
2009
IEEE
162views Data Mining» more  ICDM 2009»
14 years 7 months ago
Towards a Universal Text Classifier: Transfer Learning Using Encyclopedic Knowledge
Document classification is a key task for many text mining applications. However, traditional text classification requires labeled data to construct reliable and accurate classifie...
Pu Wang, Carlotta Domeniconi