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» Learning to rank for information retrieval (LR4IR 2008)
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CIKM
2008
Springer
15 years 8 months ago
Efficient sampling of information in social networks
As online social networking emerges, there has been increased interest to utilize the underlying social structure as well as the available social information to improve search. In...
Gautam Das, Nick Koudas, Manos Papagelis, Sushruth...
SIGIR
2008
ACM
15 years 6 months ago
Relevance judgments between TREC and Non-TREC assessors
This paper investigates the agreement of relevance assessments between official TREC judgments and those generated from an interactive IR experiment. Results show that 63% of docu...
Azzah Al-Maskari, Mark Sanderson, Paul Clough
CIKM
2008
Springer
15 years 8 months ago
Understanding the relationship between searchers' queries and information goals
We describe results from Web search log studies aimed at elucidating user behaviors associated with queries and destination URLs that appear with different frequencies. We note th...
Doug Downey, Susan T. Dumais, Daniel J. Liebling, ...
KDD
2008
ACM
172views Data Mining» more  KDD 2008»
16 years 6 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
AUSAI
2008
Springer
15 years 8 months ago
Learning to Find Relevant Biological Articles without Negative Training Examples
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
Keith Noto, Milton H. Saier Jr., Charles Elkan