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CICLING
2011
Springer
12 years 9 months ago
Ranking Multilingual Documents Using Minimal Language Dependent Resources
This paper proposes an approach of extracting simple and effective features that enhances multilingual document ranking (MLDR). There is limited prior research on capturing the co...
G. S. K. Santosh, N. Kiran Kumar, Vasudeva Varma
JMMA
2010
162views more  JMMA 2010»
13 years 8 days ago
Co-clustering Documents and Words by Minimizing the Normalized Cut Objective Function
This paper follows a word-document co-clustering model independently introduced in 2001 by several authors such as I.S. Dhillon, H. Zha and C. Ding. This model consists in creatin...
Charles-Edmond Bichot
SIGIR
2002
ACM
13 years 5 months ago
Two-stage language models for information retrieval
The optimal settings of retrieval parameters often depend on both the document collection and the query, and are usually found through empirical tuning. In this paper, we propose ...
ChengXiang Zhai, John D. Lafferty
DLIB
2002
263views more  DLIB 2002»
13 years 5 months ago
Information Retrieval by Semantic Analysis and Visualization of the Concept Space of D-Lib Magazine
In this article we present a method for retrieving documents from a digital library through a visual interface based on automatically generated concepts. We used a vocabulary gene...
Junliang Zhang, Javed Mostafa, Himansu Tripathy
SIGIR
2011
ACM
12 years 8 months ago
Utilizing minimal relevance feedback for ad hoc retrieval
Using relevance feedback can significantly improve (ad hoc) retrieval effectiveness. Yet, if little feedback is available, effectively exploiting it is a challenge. To that end,...
Eyal Krikon, Oren Kurland