Relevance feedback and cross-language information retrieval

Viviane P. Moreira; Christian Huyck

doi:10.1016/j.ipm.2005.12.003

ScienceGate Book Chapters

JOURNAL ARTICLE

Relevance feedback and cross-language information retrieval

Viviane P. Moreira Christian Huyck

Year: 2006 Journal: Information Processing & Management Vol: 42 (5)Pages: 1203-1217 Publisher: Elsevier BV

DOI: 10.1016/j.ipm.2005.12.003

Get Full-Text PDF Get Analytical Report

Keywords:

Relevance (law) Portuguese Computer science Relevance feedback Information retrieval Natural language processing Artificial intelligence Linguistics Image retrieval Political science

Metrics

Cited By

2.46

FWCI (Field Weighted Citation Impact)

Refs

0.90

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Information Retrieval and Search Behavior

Physical Sciences → Computer Science → Information Systems

Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Semantic Web and Ontologies

Physical Sciences → Computer Science → Artificial Intelligence

Relevance feedback and cross-language information retrieval

Metrics

Citation History

Topics

Related Documents

IMPROVE CROSS LANGUAGE INFORMATION RETRIEVAL WITH PSEUDO-RELEVANCE FEEDBACK

LDA based PSEUDO relevance feedback for cross language information retrieval

Relevance Feedback for Cross Language Image Retrieval

Translation Resources, Merging Strategies, and Relevance Feedback for Cross-Language Information Retrieval

Japanese-English Cross-Language Information Retrieval Using Machine Translation and Pseudo-Relevance Feedback