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A Review on Recent Arabic Information Retrieval Techniques
EAI Endorsed Transactions on Internet of Things, 2022 Information retrieval is an important field that aims to provide a relevant document to a user information need, expressed through a query. Arabic is a challenging language that gained much attention recently in the information retrieval domain.
Abdelkrim AARAB +2 more
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Ranking-Based Deep Hashing Network for Image Retrieval
IEEE Access, 2022 In large-scale image retrieval, the deep learning-based hashing methods have significantly progressed. However, most of the existing deep hashing methods still have the problems of low feature learning efficiency and weak ranking relationship ...
Zhisheng Zhang +5 more
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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
doaj +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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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
doaj +1 more source
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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An Alternative Cross Entropy Loss for Learning-to-Rank
, 2021 Listwise learning-to-rank methods form a powerful class of ranking algorithms that are widely adopted in applications such as information retrieval. These algorithms learn to rank a set of items by optimizing a loss that is a function of the entire set --
Bruch, Sebastian
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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
doaj +1 more source
Distributed Ranking Methods for Geographic Information Retrieval [PDF]
, 2005 Geographic Information Retrieval is concerned with retrieving documents that are related to some location. This paper addresses the ranking of documents by both textual and spatial relevance. To this end, we introduce distributed ranking, where similar documents are ranked spread in the list instead of consecutively.
Marc van Kreveld +3 more
openaire +5 more sources