Results 71 to 80 of about 250,954 (220)

Cluster-based information retrieval using pattern mining

Applied intelligence (Boston), 2020
This paper addresses the problem of responding to user queries by fetching the most relevant object from a clustered set of objects. It addresses the common drawbacks of cluster-based approaches and targets fast, high-quality information retrieval.
Y. Djenouri, Asma Belhadi, D. Djenouri, Jerry Chun-Wei Lin   +3 more
semanticscholar   +1 more source

A Point-Set-Based Footprint Model and Spatial Ranking Method for Geographic Information Retrieval

ISPRS International Journal of Geo-Information, 2016
In the recent big data era, massive spatial related data are continuously generated and scrambled from various sources. Acquiring accurate geographic information is also urgently demanded.
Yong Gao, Dan Jiang, Xiang Zhong, Jingyi Yu   +3 more
doaj   +1 more source

Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval [PDF]

, 2023
Jimmy Lin, David Alfonso-Hermelo, Vitor Jeronymo, Ehsan Kamalloo, Carlos Lassance, Rodrigo Nogueira, Odunayo Ogundepo, Mehdi Rezagholizadeh, Nandan Thakur, Jheng-Hong Yang, Xinyu Zhang   +10 more
openalex   +1 more source

Retrieval with gene queries

BMC Bioinformatics, 2006
Background Accuracy of document retrieval from MEDLINE for gene queries is crucially important for many applications in bioinformatics. We explore five information retrieval-based methods to rank documents retrieved by PubMed gene queries for the human ...
Srinivasan Padmini, Sehgal Aditya K
doaj   +1 more source

Exploring the Importance of Entities in Semantic Ranking

Information, 2019
In recent years, entity-based ranking models have led to exciting breakthroughs in the research of information retrieval. Compared with traditional retrieval models, entity-based representation enables a better understanding of queries and documents ...
Zhenyang Li, Guangluan Xu, Xiao Liang, Feng Li, Lei Wang, Daobing Zhang   +5 more
doaj   +1 more source

Enhancing Medical Image Retrieval with UMLS-Integrated CNN-Based Text Indexing

Diagnostics
In recent years, Convolutional Neural Network (CNN) models have demonstrated notable advancements in various domains such as image classification and Natural Language Processing (NLP).
Karim Gasmi, Hajer Ayadi, Mouna Torjmen
doaj   +1 more source

Relevant Feedback Based Accurate and Intelligent Retrieval on Capturing User Intention for Personalized Websites

IEEE Access, 2018
With the rapid growth of networking, cyber-physical-social systems (CPSSs) provide vast amounts of information. Aimed at the huge and complex data provided by networking, obtaining valuable information to meet precise search needs when capturing user ...
Yayuan Tang, Hao Wang, Kehua Guo, Yizhe Xiao, Tao Chi   +4 more
doaj   +1 more source

Parallel learning to rank for information retrieval

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, GAO, Byron J., WANG, Ke, LAUW, Hady W.   +3 more
openaire   +3 more sources

A DYNAMIC FEATURE SELECTION METHOD FOR DOCUMENT RANKING WITH RELEVANCE FEEDBACK APPROACH [PDF]

ICTACT Journal on Soft Computing, 2010
Ranking search results is essential for information retrieval and Web search. Search engines need to not only return highly relevant results, but also be fast to satisfy users.
K. Latha, B.Bhargavi, C. Dharani, R. Rajaram   +3 more
doaj  

Implementation of a Cohort Retrieval System for Clinical Data Repositories Using the Observational Medical Outcomes Partnership Common Data Model: Proof-of-Concept System Validation

JMIR Medical Informatics, 2020
BackgroundWidespread adoption of electronic health records has enabled the secondary use of electronic health record data for clinical research and health care delivery.
Liu, Sijia, Wang, Yanshan, Wen, Andrew, Wang, Liwei, Hong, Na, Shen, Feichen, Bedrick, Steven, Hersh, William, Liu, Hongfang   +8 more
doaj   +1 more source