Results 21 to 30 of about 12,314 (276)
An Improved Retrievability-Based Cluster-Resampling Approach for Pseudo Relevance Feedback
Computers, 2016 Cluster-based pseudo-relevance feedback (PRF) is an effective approach for searching relevant documents for relevance feedback. Standard approach constructs clusters for PRF only on the basis of high similarity between retrieved documents.
Shariq Bashir
doaj +1 more source
A Study of Word Bigrams for Pseudo-relevance Feedback in Information Retrieval [PDF]
Journal of Universal Computer ScienceTraditional information retrieval models mostly adopt a term independence assumption and are based on single terms or unigrams. Past efforts have attempted to go beyond this assumption, such as by using contiguous terms (i.e.
Edward Kai Fung Dang +2 more
doaj +3 more sources
A user profiles acquiring approach using pseudo-relevance feedback [PDF]
, 2009 User profiles are important in personalized Web information gathering and recommendation systems. The current user profiles acquiring techniques however suffer from some problems and thus demand to improve.
Yuefeng Li +4 more
core +1 more source
Query expansion for language modeling using sentence similarities [PDF]
, 2011 We propose a novel method of query expansion for Language Modeling (LM) in Information Retrieval (IR) based on the similarity of the query with sentences in the top ranked documents from an initial retrieval run.
Ganguly, Debasis +5 more
core +1 more source
Using relevance feedback in expert search [PDF]
, 2007 In Enterprise settings, expert search is considered an important task. In this search task, the user has a need for expertise - for instance, they require assistance from someone about a topic of interest. An expert search system assists users with their
Macdonald, C. +3 more
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A boosting approach to improving pseudo-relevance feedback [PDF]
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval, 2011 Pseudo-relevance feedback has proven effective for improving the average retrieval performance. Unfortunately, many experiments have shown that although pseudo-relevance feedback helps many queries, it also often hurts many other queries, limiting its usefulness in real retrieval applications.
Yuanhua Lv, ChengXiang Zhai, Wan Chen
openaire +1 more source
Colbert-FairPRF: Towards Fair Pseudo-Relevance Feedback in Dense Retrieval [PDF]
, 2023 Pseudo-relevance feedback mechanisms have been shown to be useful in improving the effectiveness of search systems for retrieving the most relevant items in response to a user’s query.
McDonald, Graham +5 more
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Improving Pseudo-Relevance Feedback With Neural Network-Based Word Representations
IEEE Access, 2018 In information retrieval, query expansion methods, such as pseudo-relevance feedback, are designed to enrich users' queries with relevant terms for comprehensively interpreting the desired information.
Bo Xu +4 more
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Aggregation of Multiple Pseudo Relevance Feedbacks for Image Search Re-Ranking
IEEE Access, 2019 Image retrieval effectiveness can be improved by pseudo relevance feedback (PRF), which automatically uses top-$k$ images of the initial retrieval result as the pseudo feedback.
Wei-Chao Lin
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External query reformulation for text-based image retrieval [PDF]
, 2011 In text-based image retrieval, the Incomplete Annotation Problem (IAP) can greatly degrade retrieval effectiveness. A standard method used to address this problem is pseudo relevance feedback (PRF) which updates user queries by adding feedback terms ...
Min, Jinming +3 more
core +1 more source