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WSDM
2012
ACM
267views Data Mining» more  WSDM 2012»
12 years 6 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
2005
IEEE
133views Database» more  ICDE 2005»
15 years 3 days ago
Efficient Inverted Lists and Query Algorithms for Structured Value Ranking in Update-Intensive Relational Databases
We propose a new ranking paradigm for relational databases called Structured Value Ranking (SVR). SVR uses structured data values to score (rank) the results of keyword search que...
Lin Guo, Jayavel Shanmugasundaram, Kevin S. Beyer,...
ICDE
2006
IEEE
97views Database» more  ICDE 2006»
14 years 4 months 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...
KES
2004
Springer
14 years 4 months ago
Multidimensional Visualization and Navigation in Search Results
Abstract. Search engines traditionally index unstructured text and return ranked lists of documents that match a given query. As search engines functionally move in the direction o...
Will Archer Arentz, Aleksander Øhrn
SIGIR
2009
ACM
14 years 5 months ago
Portfolio theory of information retrieval
This paper studies document ranking under uncertainty. It is tackled in a general situation where the relevance predictions of individual documents have uncertainty, and are depen...
Jun Wang, Jianhan Zhu