Results 91 to 100 of about 2,490,590 (283)
Journal of Information Systems Engineering and Business Intelligence, 2019 Background: The Rapid growth of technological developments in Indonesia had resulted in a growing amount of information. Therefore, a new information retrieval environment is necessary for finding documents that are in accordance with the user’s ...
Salman Dziyaul Azmi, Retno Kusumaningrum
doaj +1 more source
FEBS Open Bio, EarlyView.Research is strongest when conducted alongside patients, not just about them. Patient research organizations help integrate patient perspectives into research priorities, study design, and scientific meetings, leading to meaningful patient outcomes and development of relevant therapies.
Jenica H. Kakadia +9 more
wiley +1 more source
FEBS Open Bio, EarlyView.This pilot study investigates the potential of Generative AI to provide formative feedback to students. ChatGPT was prompted to provide feedback on Year 1 Bioscience essays, which were evaluated against established good feedback practices. GenAI‐authored feedback had useful elements, but was limited in scope. GenAI may have potential to provide instant,
Annabel Court +3 more
wiley +1 more source
Generalized Pseudo-Relevance Feedback
Proceedings of the ACM Web Conference 2026Query rewriting is a fundamental technique in information retrieval (IR). It typically employs the retrieval result as relevance feedback to refine the query and thereby addresses the vocabulary mismatch between user queries and relevant documents.
Yiteng Tu +6 more
openaire +3 more sources
Relevance feedback and intelligent technologies in content-based image retrieval system for medical applications [PDF]
, 2004 Relevance feedback has gained much interest from researchers in the discipline of content-based image retrieval (CBIR). However, such approach is rarely used in the content-based medical image retrieval (CBMIR) systems.
Fung, C.C., Chung, K.P.
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Evaluating implicit feedback models using searcher simulations [PDF]
, 2005 In this article we describe an evaluation of relevance feedback (RF) algorithms using searcher simulations. Since these algorithms select additional terms for query modification based on inferences made from searcher interaction, not on relevance ...
C. J. Van Rijsbergen +8 more
core +2 more sources
Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level
Aging and Cancer, EarlyView.This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley +1 more source
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley +1 more source
Aggregation of Multiple Pseudo Relevance Feedbacks for Image Search Re-Ranking
IEEE Access, 2019 Image retrieval effectiveness can be improved by pseudo relevance feedback (PRF), which automatically uses top-$k$ images of the initial retrieval result as the pseudo feedback.
Wei-Chao Lin
doaj +1 more source
TREC 2010: 19th Text REtrieval Conference: Relevance Feedback Track [PDF]
, 2010 User relevance feedback is usually utilized by Web systems to interpret user information needs and retrieve effective results for users. However, how to discover useful knowledge in user relevance feedback and how to wisely use the discovered knowledge ...
Algarni, Abdulmohsen +2 more
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