Efficient query expansion (QE) terms selection methods are really very important for
improving the accuracy and efficiency of the system by removing the irrelevant and …

Query expansion is a well-known method for improving the performance of information
retrieval systems. Pseudo-relevance feedback (PRF)-based query expansion is a type of …

Individual query expansion term selection methods have been widely investigated in an
attempt to improve their performance. Each expansion term selection method has its own …

Query expansion term selection methods are really very important for improving the
accuracy and efficiency of pseudo-relevance feedback based automatic query expansion for …

In this paper, a novel fuzzy logic-based expansion approach considering the relevance
score produced by different rank aggregation approaches is proposed. It is well known that …

Pseudo‐Relevance Feedback (PRF) is a well‐known method of query expansion for
improving the performance of information retrieval systems. All the terms of PRF documents …

Effective query expansion terms selection methods are really very important for improving
the accuracy and efficiency of Pseudo-Relevance Feedback (PRF) based automatic query …

This study proposes a new way of using WordNet for query expansion (QE). We choose
candidate expansion terms from a set of pseudo‐relevant documents; however, the …

In this paper, we propose a new high quality pseudo-relevance feedback documents
selection approach that uses machine learning based classifier for selecting a set of good …

In the medical image retrieval literature, there are two main approaches: content-based
retrieval using the visual information contained in the image itself and context-based …