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» Providing ranked relevant results for web database queries
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WWW
2008
ACM
16 years 7 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
WWW
2004
ACM
16 years 7 months ago
A community-aware search engine
Current search technologies work in "one size fits all" fashion. Therefore, the answer to a query is independent of specific user information need. In this paper, we des...
Rodrigo B. Almeida, Virgílio A. F. Almeida
ICDE
2006
IEEE
97views Database» more  ICDE 2006»
16 years 10 days ago
Measuring Generality of Documents
Most traditional Information Retrieval (IR) systems, including web search engines, operationalize “relevant” as the word frequency in a document of a set of keywords. Because ...
Hyun Woong Shin, Eduard H. Hovy, Dennis McLeod, La...
PSSS
2003
15 years 7 months ago
DLDB: Extending Relational Databases to Support Semantic Web Queries
Abstract: We present DLDB, a knowledge base system that extends a relational database management system with additional capabilities for DAML+OIL inference. We discuss a number of ...
Zhengxiang Pan, Jeff Heflin
EDBT
2011
ACM
256views Database» more  EDBT 2011»
14 years 9 months ago
RanKloud: a scalable ranked query processing framework on hadoop
The popularity of batch-oriented cluster architectures like Hadoop is on the rise. These batch-based systems successfully achieve high degrees of scalability by carefully allocati...
K. Selçuk Candan, Parth Nagarkar, Mithila N...