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» Swarming to rank for information retrieval
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ECIR
2010
Springer
13 years 10 months ago
Learning to Select a Ranking Function
Abstract. Learning To Rank (LTR) techniques aim to learn an effective document ranking function by combining several document features. While the function learned may be uniformly ...
Jie Peng, Craig Macdonald, Iadh Ounis
RSFDGRC
2011
Springer
255views Data Mining» more  RSFDGRC 2011»
12 years 12 months ago
Construction and Analysis of Web-Based Computer Science Information Networks
WINACS (Web-based Information Network Analysis for Computer Science) is a project that incorporates many recent, exciting developments in data sciences to construct a Web-based co...
Jiawei Han
WSDM
2012
ACM
267views Data Mining» more  WSDM 2012»
12 years 4 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...
SIGIR
2005
ACM
14 years 2 months ago
Gravitation-based model for information retrieval
This paper proposes GBM (gravitation-based model), a physical model for information retrieval inspired by Newton’s theory of gravitation. A mapping is built in this model from c...
Shuming Shi, Ji-Rong Wen, Qing Yu, Ruihua Song, We...
IEEECIT
2009
IEEE
14 years 3 months ago
Collective Intelligence-Based Web Page Search: Combining Folksonomy and Link-Based Ranking Strategy
— With the exponentially growing amount of information available on the Internet, retrieving web pages of interest has become increasingly difficult. While several web page recom...
Tao Zhang, Byungjeong Lee, Sooyong Kang, Hanjoon K...