Results 41 to 50 of about 1,705,573 (348)
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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A Query Understanding Framework for Earth Data Discovery
Applied Sciences, 2020 One longstanding complication with Earth data discovery involves understanding a user’s search intent from the input query. Most of the geospatial data portals use keyword-based match to search data.
Yun Li +4 more
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A Query Expansion Method Using Multinomial Naive Bayes
Applied Sciences, 2021 Information retrieval (IR) aims to obtain relevant information according to a certain user need and involves a great diversity of data such as texts, images, or videos. Query expansion techniques, as part of information retrieval (IR), are used to obtain
Sergio Silva +4 more
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Supporting Scholarly Search by Query Expansion and Citation Analysis
, 2020 Published scholarly articles have increased exponentially in recent years. This growth has brought challenges for academic researchers in locating the most relevant papers in their fields of interest. The reasons for this vary.
S. Khalid, S. Wu
semanticscholar +1 more source
An Initial Investigation of Query Expansion Bias [PDF]
Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, 2017 Query expansion is a useful retrieval mechanism for creating more verbose queries from the users initial keyword search. Query expansion generally have multiple parameters that allowthe user to define how many terms and where those terms come from are introduced to the expanded query.
Wilkie, Colin, Azzopardi, Leif
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Query expansion based on clustered results [PDF]
Proceedings of the VLDB Endowment, 2011 Query expansion is a functionality of search engines that suggests a set of related queries for a user-issued keyword query. Typical corpus-driven keyword query expansion approaches return popular words in the results as expanded queries. Using these approaches, the expanded queries may correspond to a subset of possible query semantics, and thus miss ...
Ziyang Liu +2 more
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IEEE Access, 2021 English is an international language used for communication worldwide but still many cannot read, write, understand, or communicate in English. On the other hand, the World Wide Web has unlimited resources of information in different languages which ...
Ayman A. Taan +4 more
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Query Expansion Based on Crowd Knowledge for Code Search [PDF]
IEEE Transactions on Services Computing, 2016 As code search is a frequent developer activity in software development practices, improving the performance of code search is a critical task. In the text retrieval based search techniques employed in the code search, the term mismatch problem is a ...
Liming Nie +4 more
semanticscholar +1 more source
Query expansion based on relevance feedback and latent semantic analysis [PDF]
Journal of Artificial Intelligence and Data Mining, 2014 Web search engines are one of the most popular tools on the Internet which are widely-used by expert and novice users. Constructing an adequate query which represents the best specification of users’ information need to the search engine is an important ...
Marziea Rahimi, Morteza Zahedi
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A Hybrid Text Generation-Based Query Expansion Method for Open-Domain Question Answering
Future Internet, 2023 In the two-stage open-domain question answering (OpenQA) systems, the retriever identifies a subset of relevant passages, which the reader then uses to extract or generate answers.
Wenhao Zhu +3 more
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