Results 31 to 40 of about 250,954 (220)
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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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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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
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
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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Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021 Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations. It aims to provide effective, reproducible, and easy-to-use first-stage retrieval in a multi-stage ranking architecture.
Jimmy J. Lin +6 more
semanticscholar +1 more source
A proposed conceptual framework for a representational approach to information retrieval [PDF]
SIGIR Forum, 2021 This paper outlines a conceptual framework for understanding recent developments in information retrieval and natural language processing that attempts to integrate dense and sparse retrieval methods. I propose a representational approach that breaks the
Jimmy J. Lin
semanticscholar +1 more source
An Adversarial Imitation Click Model for Information Retrieval [PDF]
The Web Conference, 2021 Modern information retrieval systems, including web search, ads placement, and recommender systems, typically rely on learning from user feedback. Click models, which study how users interact with a ranked list of items, provide a useful understanding of
Xinyi Dai +9 more
semanticscholar +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.
van Kreveld, M.J. +3 more
openaire +4 more sources