Results 31 to 40 of about 197,373 (301)
WORD SENSE DISAMBIGUATION METHOD USING SEMANTIC SIMILARITY MEASURES AND OWA OPERATOR [PDF]
ICTACT Journal on Soft Computing, 2015 Query expansion (QE) is the process of reformulating a query to improve retrieval performance. Most of the times user's query contains ambiguous terms which adds relevant as well as irrelevant terms to the query after applying current query expansion ...
Kanika Mittal, Amita Jain
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Improving automatic query expansion [PDF]
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval, 1998 Most casual users of IR systems type short queries. Recent research has shown that adding new words to these queries via odhoc feedback improves the retrieval effectiveness of such queries. We investigate ways to improve this query expansion process by refining the set of documents used in feedback. We start by using manually formulated Boolean filters
Mandar Mitra +2 more
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Construction of artificial intelligence-assisted English learning resource query system
Frontiers in Psychology, 2022 English has become an important tool for China's opening to the outside world and exchanges with other countries. More and more people have the motivation and requirements to learn English, but under the traditional English learning mode and traditional ...
Wenjing Yao, Ning Li
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Cluster-based query expansion [PDF]
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, 2009 We demonstrate the merits of using document clusters that are created offline to improve the overall effectiveness and performance robustness of a state-of-the-art pseudo-feedback-based query expansion method -- the relevance model.
Inna Gelfer Kalmanovich, Oren Kurland
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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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Machine Learning with Applications, 2023 This work addresses an alternative approach for query expansion (QE) using a generative adversarial network (GAN) to enhance the effectiveness of information search in e-commerce.
Altan Cakir, Mert Gurkan
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Evidence combination for multi-point query learning in content-based image retrieval [PDF]
, 2004 In multipoint query learning a number of query representatives are selected based on the positive feedback samples. The similarity score to a multipoint query is obtained from merging the individual scores.
Jose, J.M., Urban, J.
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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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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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Ranks Aggregation and Semantic Genetic Approach based Hybrid Model for Query Expansion
International Journal of Computational Intelligence Systems, 2017 Effective query expansion terms selection methods are really very important for improving the accuracy and efficiency of Pseudo-Relevance Feedback (PRF) based automatic query expansion techniques in information retrieval system.
Jagendra Singh
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