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KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 8 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
KDD
2012
ACM
281views Data Mining» more  KDD 2012»
13 years 8 months ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...
SSDBM
2003
IEEE
141views Database» more  SSDBM 2003»
15 years 11 months ago
The ed-tree: An Index for Large DNA Sequence Databases
The growing interest in genomic research has caused an explosive growth in the size of DNA databases making it increasely challenging to perform searches on them. In this paper, w...
Zhenqiang Tan, Xia Cao, Beng Chin Ooi, Anthony K. ...
IJWET
2010
104views more  IJWET 2010»
15 years 4 months ago
Configurable meta-search in the job domain
: To aid job seekers searching for job vacancies, we have developed a new configurable meta-search engine for the human resources domain. In this paper we describe the three main c...
Tabbasum Naz, Jürgen Dorn, Alexandra Poulovas...
WSDM
2012
ACM
207views Data Mining» more  WSDM 2012»
14 years 1 months ago
Sequence clustering and labeling for unsupervised query intent discovery
One popular form of semantic search observed in several modern search engines is to recognize query patterns that trigger instant answers or domain-specific search, producing sem...
Jackie Chi Kit Cheung, Xiao Li