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We propose an entropy-based query expansion with a reweighting (E_QE) approach to revise queries during the iterative retrieval process.
We designed a series of experiments that consider the researcher's changing information needs during task execution. Two topic change situations are considered ...
Abstract—Literature survey is one of the most important steps in the process of academic research, allowing researchers to explore and understand topics.
An entropy-based query expansion approach for learning researchers' dynamic information needs. https://doi.org/10.1016/j.knosys.2013.07.017 ·.
Dive into the research topics of 'On learning researchers' dynamic information needs: An entropy-based query expansion approach'. Together they form a ...
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To tackle this problem, we propose an entropy-based query expansion with a reweighting (E_QE) approach to revise queries during the iterative retrieval process ...
Dive into the research topics of 'An entropy-based query expansion approach for learning researchers' dynamic information needs'. Together they form a ...
The E_QE used to learn the researchers' evolving information needs at different levels of topic change. • Adopting a simulation pseudo-relevance feedback ...
Intelligent Data Analysis 17 (6), 1093-1113, 2013. 9, 2013. An entropy-based query expansion approach for learning researchers' dynamic information needs. I Wu ...
"An entropy-based query expansion approach for learning researchers' dynamic information needs." Knowledge-Based Systems 52 (November 2013): 133–46. http ...