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2010
Springer
13 years 9 months ago
Relevance Ranking Using Kernels
This paper is concerned with relevance ranking in search, particularly that using term dependency information. It proposes a novel and unified approach to relevance ranking using ...
Jun Xu, Hang Li, Chaoliang Zhong
IJWGS
2010
116views more  IJWGS 2010»
13 years 8 months ago
Constructing Feature Vectors for search: investigating intrinsic quality impact on search performance
Abstract: In this paper, we revisit our approach to construction of semanticlinguistic Feature Vectors (FVs) used to enhance Web search. These FVs are built based on domain semanti...
Stein L. Tomassen, Darijus Strasunskas
WSDM
2010
ACM
210views Data Mining» more  WSDM 2010»
14 years 8 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
WWW
2007
ACM
14 years 11 months ago
Detecting near-duplicates for web crawling
Near-duplicate web documents are abundant. Two such documents differ from each other in a very small portion that displays advertisements, for example. Such differences are irrele...
Gurmeet Singh Manku, Arvind Jain, Anish Das Sarma
SIGIR
2008
ACM
13 years 11 months ago
Query expansion using gaze-based feedback on the subdocument level
We examine the effect of incorporating gaze-based attention feedback from the user on personalizing the search process. Employing eye tracking data, we keep track of document part...
Georg Buscher, Andreas Dengel, Ludger van Elst