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» The influence of the document ranking in expert search
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KDD
2012
ACM
187views Data Mining» more  KDD 2012»
11 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...
SIGIR
2008
ACM
13 years 5 months ago
A study of learning a merge model for multilingual information retrieval
This paper proposes a learning approach for the merging process in multilingual information retrieval (MLIR). To conduct the learning approach, we also present a large number of f...
Ming-Feng Tsai, Yu-Ting Wang, Hsin-Hsi Chen
JUCS
2006
225views more  JUCS 2006»
13 years 5 months ago
Restricting the View and Connecting the Dots - Dangers of a Web Search Engine Monopoly
: Everyone realizes how powerful the few big Web search engine companies have become, both in terms of financial resources due to soaring stock quotes and in terms of the still hid...
Narayanan Kulathuramaiyer, Wolf-Tilo Balke
AEI
2000
63views more  AEI 2000»
13 years 5 months ago
Application of a support system to the design of wastewater treatment plants
This paper presents a case study that explores the advantages that can be derived from the use of a design support system during the design of wastewater treatment plants (WWTP). ...
Ignasi Rodríguez-Roda, Manel Poch, Ren&eacu...
BMCBI
2008
116views more  BMCBI 2008»
13 years 5 months ago
MScanner: a classifier for retrieving Medline citations
Background: Keyword searching through PubMed and other systems is the standard means of retrieving information from Medline. However, ad-hoc retrieval systems do not meet all of t...
Graham L. Poulter, Daniel L. Rubin, Russ B. Altman...