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» Smoothing clickthrough data for web search ranking
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ICSOC
2010
Springer
14 years 7 months ago
Panta Rhei: Optimized and Ranked Data Processing over Heterogeneous Sources
In the era of digital information, the value of data resides not only in its volume and quality, but also in the additional information that can be inferred from the combination (a...
Daniele Braga, Francesco Corcoglioniti, Michael Gr...
WSDM
2012
ACM
267views Data Mining» more  WSDM 2012»
13 years 5 months ago
Learning to rank with multi-aspect relevance for vertical search
Many vertical search tasks such as local search focus on specific domains. The meaning of relevance in these verticals is domain-specific and usually consists of multiple well-d...
Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. T...
ICDE
2008
IEEE
168views Database» more  ICDE 2008»
15 years 4 months ago
Index Design for Dynamic Personalized PageRank
Personalized PageRank, related to random walks with restarts and conductance in resistive networks, is a frequent search paradigm for graph-structured databases. While efficient ba...
Amit Pathak, Soumen Chakrabarti, Manish S. Gupta
DBISP2P
2005
Springer
183views Database» more  DBISP2P 2005»
15 years 3 months ago
Database Selection and Result Merging in P2P Web Search
Intelligent Web search engines are extremely popular now. Currently, only commercial centralized search engines like Google can process terabytes of Web data. Alternative search en...
Sergey Chernov, Pavel Serdyukov, Matthias Bender, ...
WSDM
2010
ACM
210views Data Mining» more  WSDM 2010»
15 years 7 months ago
Leveraging Temporal Dynamics of Document Content in Relevance Ranking
Many web documents are dynamic, with content changing in varying amounts at varying frequencies. However, current document search algorithms have a static view of the document con...
Jonathan L. Elsas, Susan T. Dumais