A new fuzzy logic-based query expansion model for efficient information retrieval using relevance feedback approach
J Singh, A Sharan - Neural Computing and Applications, 2017 - Springer
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 …
improving the accuracy and efficiency of the system by removing the irrelevant and …
Fuzzy logic hybrid model with semantic filtering approach for pseudo relevance feedback-based query expansion
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 …
attempt to improve their performance. Each expansion term selection method has its own …
A pseudo-relevance feedback framework combining relevance matching and semantic matching for information retrieval
J Wang, M Pan, T He, X Huang, X Wang… - Information Processing & …, 2020 - Elsevier
Pseudo-relevance feedback (PRF) is a well-known method for addressing the mismatch
between query intention and query representation. Most current PRF methods consider …
between query intention and query representation. Most current PRF methods consider …
A novel fuzzy logic model for pseudo-relevance feedback-based query expansion
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 …
score produced by different rank aggregation approaches is proposed. It is well known that …
Proximity-based rocchio's model for pseudo relevance
Rocchio's relevance feedback model is a classic query expansion method and it has been
shown to be effective in boosting information retrieval performance. The selection of …
shown to be effective in boosting information retrieval performance. The selection of …
Finding a good query‐related topic for boosting pseudo‐relevance feedback
Pseudo‐relevance feedback (PRF) via query expansion (QE) assumes that the top‐ranked
documents from the first‐pass retrieval are relevant. The most informative terms in the …
documents from the first‐pass retrieval are relevant. The most informative terms in the …
TopPRF: A probabilistic framework for integrating topic space into pseudo relevance feedback
Traditional pseudo relevance feedback (PRF) models choose top k feedback documents for
query expansion and treat those documents equally. When k is determined, feedback terms …
query expansion and treat those documents equally. When k is determined, feedback terms …
A simple term frequency transformation model for effective pseudo relevance feedback
Pseudo Relevance Feedback is an effective technique to improve the performance of ad-
hoc information retrieval. Traditionally, the expansion terms are extracted either according to …
hoc information retrieval. Traditionally, the expansion terms are extracted either according to …
A simple kernel co‐occurrence‐based enhancement for pseudo‐relevance feedback
M Pan, JX Huang, T He, Z Mao… - Journal of the …, 2020 - Wiley Online Library
Pseudo‐relevance feedback is a well‐studied query expansion technique in which it is
assumed that the top‐ranked documents in an initial set of retrieval results are relevant and …
assumed that the top‐ranked documents in an initial set of retrieval results are relevant and …
The simplest thing that can possibly work:(pseudo-) relevance feedback via text classification
Motivated by recent commentary that has questioned today's pursuit of ever-more complex
models and mathematical formalisms in applied machine learning and whether meaningful …
models and mathematical formalisms in applied machine learning and whether meaningful …