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SIGIR
2012
ACM
11 years 7 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
SIGMOD
2002
ACM
121views Database» more  SIGMOD 2002»
14 years 5 months ago
The Design and Performance Evaluation of Alternative XML Storage Strategies
This paper studies five strategies for storing XML documents including one that leaves documents in the file system, three that use a relational database system, and one that uses...
Feng Tian, David J. DeWitt, Jianjun Chen, Chun Zha...
RIAO
2007
13 years 6 months ago
Comprehensible and Accurate Cluster Labels in Text Clustering
The purpose of text clustering in information retrieval is to discover groups of semantically related documents. Accurate and comprehensible cluster descriptions (labels) let the ...
Jerzy Stefanowski, Dawid Weiss
DOCENG
2009
ACM
13 years 11 months ago
Test collection management and labeling system
In order to evaluate the performance of information retrieval and extraction algorithms, we need test collections. A test collection consists of a set of documents, a clearly form...
Eunyee Koh, Andruid Kerne, Sarah Berry
SIGMOD
2009
ACM
214views Database» more  SIGMOD 2009»
14 years 5 months ago
DDE: from dewey to a fully dynamic XML labeling scheme
Labeling schemes lie at the core of query processing for many XML database management systems. Designing labeling schemes for dynamic XML documents is an important problem that ha...
Liang Xu, Tok Wang Ling, Huayu Wu, Zhifeng Bao