Results 31 to 40 of about 372,511 (339)
Link-Driven Study to Enhance Text-Based Image Retrieval: Implicit Links Versus Explicit Links
IEEE Access, 2023 Due to the explosive growth of digital images, new efficient and effective methodologies and tools are needed in the image retrieval field. Compared to the content-based image retrieval approach that suffers from the semantic gap, the text-based image ...
Karim Gasmi, Hatem Aouadi, Mouna Torjmen
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Neural Approaches to Multilingual Information Retrieval [PDF]
European Conference on Information Retrieval, 2022 Providing access to information across languages has been a goal of Information Retrieval (IR) for decades. While progress has been made on Cross Language IR (CLIR) where queries are expressed in one language and documents in another, the multilingual ...
Dawn J Lawrie +3 more
semanticscholar +1 more source
Parallel learning to rank for information retrieval [PDF]
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval, 2011 Learning to rank represents a category of effective ranking methods for information retrieval. While the primary concern of existing research has been accuracy, learning efficiency is becoming an important issue due to the unprecedented availability of large-scale training data and the need for continuous update of ranking functions.
WANG, Shuaiqiang +3 more
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Re-thinking Knowledge Graph Completion Evaluation from an Information Retrieval Perspective [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022 Knowledge graph completion (KGC) aims to infer missing knowledge triples based on known facts in a knowledge graph. Current KGC research mostly follows an entity ranking protocol, wherein the effectiveness is measured by the predicted rank of a masked ...
Ying Zhou +4 more
semanticscholar +1 more source
Retrieval and Ranking of Combining Ontology and Content Attributes for Scientific Document
Entropy, 2022 Traditional mathematical search models retrieve scientific documents only by mathematical expressions and their contexts and do not consider the ontological attributes of scientific documents, which result in gaps between the queries and the retrieval ...
Xinyu Jiang, Bingjie Tian, Xuedong Tian
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IEEE Access, 2020 Because of the unique attributes of archive information, it is challenging to manage and effectively retrieve archive information in the archive information management practice.
Meng Wang, Lilan Chen
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Intelligent Search System for Working with Big Data
Современные информационные технологии и IT-образование, 2023 The article describes a system for modeling an information retrieval system on the Internet. The developed application is described, which allows the operation of the information retrieval system according to the following parameters: according to the ...
Irina F. Astachova +3 more
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DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval [PDF]
International Conference on Information and Knowledge Management, 2017 This paper concerns a deep learning approach to relevance ranking in information retrieval (IR). Existing deep IR models such as DSSM and CDSSM directly apply neural networks to generate ranking scores, without explicit understandings of the relevance ...
Liang Pang +5 more
semanticscholar +1 more source
Incorporating Retrieval Information into the Truncation of Ranking Lists for Better Legal Search
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022 The truncation of ranking lists predicted by retrieval models is vital to ensure users' search experience. Particularly, in specific vertical domains where documents are usually complicated and extensive (e.g., legal cases), the cost of browsing results ...
Yixiao Ma +6 more
semanticscholar +1 more source
Pre-training Methods in Information Retrieval [PDF]
arXiv.org, 2021 The core of information retrieval (IR) is to identify relevant information from large-scale resources and return it as a ranked list to respond to the user's information need.
Yixing Fan +7 more
semanticscholar +1 more source