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Temporal Pseudo-relevance Feedback in Microblog Retrieval
, 2012 Twitter has become a major outlet for news, discussion and commentary of on-going events and trends. Effective searching of Twitter collections poses a number of issues for traditional document-based information retrieval (IR) approaches, such as limited document term statistics and spam.
Stewart Whiting +2 more
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Flexible pseudo-relevance feedback via selective sampling
ACM Transactions on Asian Language Information Processing, 2005Although Pseudo-Relevance Feedback (PRF) is a widely used technique for enhancing average retrieval performance, it may actually hurt performance for around one-third of a given set of topics. To enhance the reliability of PRF, Flexible PRF has been proposed, which adjusts the number of pseudo-relevant documents and/or the number of expansion terms for
Tetsuya Sakai +2 more
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Hybrid pseudo-relevance feedback for microblog retrieval
Journal of Information Science, 2013 The microblog has become a new global hot spot. Information retrieval (IR) technologies are necessary for accessing the massive amounts of valuable user-generated contents in the microblog sphere. The challenge in searching relevant microblogs is that they are usually very short with sparse vocabulary and may fail to match queries.
Chen, Lin +3 more
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Pseudo relevance feedback optimization
Information Retrieval Journal, 2021We propose a method for automatic optimization of pseudo relevance feedback (PRF) in information retrieval. Based on the conjecture that the initial query’s contribution to the final query may not be necessary once a good model is built from pseudo relevant documents, we set out to optimize per query only the number of top-retrieved documents to be ...
Avi Arampatzis +2 more
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Pseudo-Relevance Feedback with Dense Retrievers in Pyserini
Proceedings of the 26th Australasian Document Computing Symposium, 2022Transformer-based Dense Retrievers (DRs) are attracting extensive attention because of their effectiveness paired with high efficiency. In this context, few Pseudo-Relevance Feedback (PRF) methods applied to DRs have emerged. However, the absence of a general framework for performing PRF with DRs has made the empirical evaluation, comparison and ...
Hang Li 0009 +4 more
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ColBERT-PRF: Semantic Pseudo-Relevance Feedback for Dense Passage and Document Retrieval [PDF]
ACM Transactions on the Web, 2023 Pseudo-relevance feedback mechanisms, from Rocchio to the relevance models, have shown the usefulness of expanding and reweighting the users’ initial queries using information occurring in an initial set of retrieved documents, known as the pseudo ...
Xiao Wang +2 more
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Pseudo-relevance feedback query based on Wikipedia
2012 IEEE International Conference on Granular Computing, 2012The traditional information retrieval (IR) model always only use the BOW (bag-of-words)-based retrieval model or Concepts-based retrieval model. However BOW-based model ignore the rich semantic relations between the words and text, and Concept-based model always bring in the noisy concepts and loss the precision.
Tingting He, Xionglu Dai
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Investigating the suboptimality and instability of pseudo-relevance feedback
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval, 2010Although Pseudo-Relevance Feedback (PRF) techniques improve average retrieval performance at the price of high variance, not much is known about their optimality and the reasons for their instability. In this work, we study more than 800 topics from several test collections including the TREC Robust Track and show that PRF techniques are highly ...
Raghavendra Udupa, Abhijit Bhole
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An incremental approach to efficient pseudo-relevance feedback
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval, 2013Pseudo-relevance feedback is an important strategy to improve search accuracy. It is often implemented as a two-round retrieval process: the first round is to retrieve an initial set of documents relevant to an original query, and the second round is to retrieve final retrieval results using the original query expanded with terms selected from the ...
Hao Wu 0036, Hui Fang 0001
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A Theoretical Analysis of Pseudo-Relevance Feedback Models
Proceedings of the 2013 Conference on the Theory of Information Retrieval, 2013Our goal in this study is to compare several widely used pseudo-relevance feedback (PRF) models and understand what explains their respective behavior. To do so, we first analyze how different PRF models behave through the characteristics of the terms they select and through their performance on two widely used test collections.
Stéphane Clinchant, Éric Gaussier
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