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AAAI
2008
15 years 2 months ago
Concept-Based Feature Generation and Selection for Information Retrieval
Traditional information retrieval systems use query words to identify relevant documents. In difficult retrieval tasks, however, one needs access to a wealth of background knowled...
Ofer Egozi, Evgeniy Gabrilovich, Shaul Markovitch
CIKM
2005
Springer
15 years 1 months ago
Using RankBoost to compare retrieval systems
This paper presents a new pooling method for constructing the assessment sets used in the evaluation of retrieval systems. Our proposal is based on RankBoost, a machine learning v...
Huyen-Trang Vu, Patrick Gallinari
ECIR
2006
Springer
15 years 1 months ago
Sentence Retrieval with LSI and Topic Identification
This paper presents two sentence retrieval methods. We adopt the task definition done in the TREC Novelty Track: sentence retrieval consists in the extraction of the relevant sente...
David Parapar, Alvaro Barreiro
SIGMOD
2009
ACM
150views Database» more  SIGMOD 2009»
16 years 2 days ago
DBDOC: querying and browsing databases and interrelated documents
Large collections of documents are commonly created around a database, where a typical database schema may contain hundreds of tables and thousands of columns. We developed a syst...
Carlos Garcia-Alvarado, Carlos Ordonez, Zhibo Chen...
WWW
2002
ACM
14 years 11 months ago
Improvement of HITS-based algorithms on web documents
In this paper, we present two ways to improve the precision of HITS-based algorithms on Web documents. First, by analyzing the limitations of current HITS-based algorithms, we pro...
Longzhuang Li, Yi Shang, Wei Zhang