Results 31 to 40 of about 1,705,573 (348)
Re-ranking vehicle re-identification with orientation-guide query expansion
International Journal of Distributed Sensor Networks, 2022 Vehicle re-identification, which aims to retrieve information regarding a vehicle from different cameras with non-overlapping views, has recently attracted extensive attention in the field of computer vision owing to the development of smart cities. This
Xue Zhang +6 more
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Evaluation of Term Ranking Algorithms for Pseudo-Relevance Feedback in MEDLINE Retrieval [PDF]
Healthcare Informatics Research, 2011 ObjectivesThe purpose of this study was to investigate the effects of query expansion algorithms for MEDLINE retrieval within a pseudo-relevance feedback framework.MethodsA number of query expansion algorithms were tested using various term ranking ...
Sooyoung Yoo, Jinwook Choi
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QA4PRF: A Question Answering Based Framework for Pseudo Relevance Feedback
IEEE Access, 2021 Pseudo relevance feedback (PRF) automatically performs query expansion based on top-retrieved documents to better represent the user’s information need so as to improve the search results.
Handong Ma +8 more
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Construction of a 5G Wireless Semantic Web-Assisted English Digital Learning Resource Query System
Discrete Dynamics in Nature and Society, 2021 Based on the 5G wireless semantic network, this paper realizes the construction of the English digital learning resources query system, providing the query and management functions for English digital learning resources, and realizes the integration of ...
Lili Liu
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Code Search Based on Alteration Intent
IEEE Access, 2019 Code search is to retrieve the method according to the user needs. Many people think of the query as the only one to reflect the user needs. So they start with the query and find the synonyms, semantically similar to the query terms, for query expansion.
Huaiguang Wu, Yang Yang
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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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Proximity relevance model for query expansion [PDF]
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016 Query expansion (QE) aims at improving information retrieval effectiveness by enhancing the query formulation. Because users' queries are generally short and because of the language ambiguity, some information needs are difficult to satisfy. Query reformulation and QE methods have been developed to face this issue.
Ermakova, Liana +2 more
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Conceptual Query Expansion [PDF]
, 2005 Query expansion has been extensively studied as a technique for increasing information retrieval performance. However, due to the volume of documents available on the web, many of the techniques that have been successful in traditional information retrieval systems do not scale well to web information retrieval.
Orland Hoeber, Xue Dong Yang, Yiyu Yao
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Query expansion and query reduction in document retrieval [PDF]
Proceedings. 15th IEEE International Conference on Tools with Artificial Intelligence, 2004 We investigate two seemingly incompatible approaches for improving document retrieval performance in the context of question answering: query expansion and query reduction. Queries are expanded by generating lexical paraphrases. Syntactic, semantic and corpus-based frequency information is used in this process.
Ingrid Zukerman +2 more
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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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