Results 211 to 220 of about 10,903 (240)
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Exploring Pseudo-Relevance Feedback for Microblog Search
2014This study explored the effectiveness of a classical information retrieval (IR) approach, pseudo-relevance feedback (PRF), on improving the performance of microblog search. Factors including number of PRF iterations, term selection strategy, term weighting scheme and use of user-generated metadata were examined in order to shed light on their influence
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Iterative Estimation of Document Relevance Score for Pseudo-Relevance Feedback
2017Pseudo-relevance feedback (PRF) is an effective technique for improving the retrieval performance through updating the query model using the top retrieved documents. Previous work shows that estimating the effectiveness of feedback documents can substantially affect the PRF performance. Following the recent studies on theoretical analysis of PRF models,
Mozhdeh Ariannezhad +3 more
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Learning-Based Pseudo-Relevance Feedback for Patent Retrieval
2012Pseudo-relevance feedback (PRF) is an effective approach in Information Retrieval but unfortunately many experiments have shown that PRF is ineffective in patent retrieval. This is because the quality of initial results in the patent retrieval is poor and therefore estimating a relevance model via PRF often hurts the retrieval performance due to off ...
Parvaz Mahdabi, Fabio Crestani
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Selecting good expansion terms for pseudo-relevance feedback
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, 2008Pseudo-relevance feedback assumes that most frequent terms in the pseudo-feedback documents are useful for the retrieval. In this study, we re-examine this assumption and show that it does not hold in reality - many expansion terms identified in traditional approaches are indeed unrelated to the query and harmful to the retrieval.
Guihong Cao +3 more
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Pseudo Relevance Feedback Using Fast XML Retrieval
2009This paper reports the result of experimentation of our approach using the vector space model for retrieving large-scale XML data. The purposes of the experiments are to improve retrieval precision on the INitiative for the Evaluation of XML Retrieval (INEX) 2008 Adhoc Track, and to compare the retrieval time of our system to other systems on the INEX ...
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Concept Based Pseudo Relevance Feedback in Biomedical Field
2009Semantic information retrieval is based on calculating similarity between concepts in a query and documents of a corpus. In this regard, similarity between concept pairs is determined by using an ontology or a meta-thesaurus. Although semantic similarities often convey reasonable meaning, there are cases where calculated semantic similarity fails to ...
Vahid Jalali +1 more
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Utilizing Pseudo-Relevance Feedback in Fusion-based Retrieval
Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, 2018The usage of positive relevance feedback in fusion-based retrieval was previously shown to be very useful. Yet, in many retrieval use-cases, no actual relevance feedback may be available. With the absence of relevance data, pseudo-relevance feedback models have been suggested as an alternative.
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Pseudo-halide anion engineering for α-FAPbI3 perovskite solar cells
Nature, 2021Jaeki Jeong, Jongdeuk Seo, Haizhou Lu
exaly