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ICDM
2002
IEEE
448views Data Mining» more  ICDM 2002»
14 years 21 days ago
Feature Selection Algorithms: A Survey and Experimental Evaluation
In view of the substantial number of existing feature selection algorithms, the need arises to count on criteria that enables to adequately decide which algorithm to use in certai...
Luis Carlos Molina, Lluís Belanche, À...
IICS
2010
Springer
13 years 11 months ago
An Evaluation Framework for Semantic Search in P2P Networks
: We address the problem of evaluating peer-to-peer information retrieval (P2PIR) systems with semantic overlay structure. The P2PIR community lacks a commonly accepted testbed, su...
Florian Holz, Hans Friedrich Witschel, Gregor Hein...
SIGIR
2012
ACM
11 years 10 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
IIR
2010
13 years 9 months ago
A Study on Evaluation on Opinion Retrieval Systems
We study the evaluation of opinion retrieval systems. Opinion retrieval is a relatively new research area, nevertheless classical evaluation measures, those adopted for ad hoc ret...
Giambattista Amati, Giuseppe Amodeo, Valerio Capoz...
SIGIR
1998
ACM
13 years 12 months ago
How Reliable Are the Results of Large-Scale Information Retrieval Experiments?
Two stages in measurement of techniques for information retrieval are gathering of documents for relevance assessment and use of the assessments to numerically evaluate effective...
Justin Zobel