Results 181 to 190 of about 11,682 (203)

Query expansion using pseudo relevance feedback on wikipedia

Journal of Intelligent Information Systems, 2017
One of the major challenges in Web search pertains to the correct interpretation of users’ intent. Query Expansion is one of the well-known approaches for determining the intent of the user by addressing the vocabulary mismatch problem. A limitation of the current query expansion approaches is that the relations between the query terms and the expanded
Andisheh Keikha, Faezeh Ensan, Ebrahim Bagheri   +2 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, 2018
The 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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Amharic-English Information Retrieval with Pseudo Relevance Feedback [PDF]

, 2008
We describe cross language retrieval experiments using Amharic queries and English language d ocument collection. Two monolingual and eight bilingual runs were submitted with variations in terms of usage of long and short queries, presence of pseudo relevance feedback (PRF), and approaches for word sense disambiguation (WSD). We used an Amharic-English
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Pseudo Topic Analysis for Boosting Pseudo Relevance Feedback

2019
Traditional Pseudo Relevance Feedback (PRF) approaches fail to mode real-world intricate user activities. They naively assume that the first-pass top-ranked search results, i.e. the pseudo relevant set, have potentially relevant aspects for the user query.
Rong Yan, Guanglai Gao
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Pseudo Relevance Feedback Using Fast XML Retrieval

2009
This 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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Block-based pseudo-relevance feedback for image retrieval

Journal of Experimental and Theoretical Artificial Intelligence, 2022
Wei-Chao Lin
exaly  

SPRF: A semantic Pseudo-relevance Feedback enhancement for information retrieval via ConceptNet

Knowledge-Based Systems, 2023
Min Pan, Teng Li, Jimmy Xiangji Huang
exaly  

A Pseudo-relevance feedback framework combining relevance matching and semantic matching for information retrieval

Information Processing and Management, 2020
Min Pan, Tingting He
exaly  

A probabilistic framework for integrating sentence-level semantics via BERT into pseudo-relevance feedback

Information Processing and Management, 2022
Min Pan, Jimmy Xiangji Huang
exaly  

ColBERT-PRF: Semantic Pseudo-Relevance Feedback for Dense Passage and Document Retrieval

ACM Transactions on the Web, 2023
Xiao Wang, Craig Macdonald, Nicola Tonellotto   +2 more
exaly