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Relevant bibliographies by topics / NeuCDCF

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Journal articles
Dissertations / Theses
Book chapters

Academic literature on the topic 'NeuCDCF'

Author: Grafiati

Published: 6 September 2023

Last updated: 31 July 2025

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Journal articles on the topic "NeuCDCF"

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Hao, Cuiping, and Ting Yang. "Deep Collaborative Online Learning Resource Recommendation Based on Attention Mechanism." Scientific Programming 2022 (March 24, 2022): 1–10. http://dx.doi.org/10.1155/2022/3199134.

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In view of the lack of hierarchical and systematic resource recommendation caused by rich online learning resources and many learning platforms, an attention-based ADCF online learning resource recommendation model is proposed by introducing the attention mechanism into a deep collaborative DCF model. Experimental results show that the proposed ADCF model enables an accurate recommendation of online learning resources, reaching 0.626 and 0.339 on the HR and NDCG metrics, respectively, compared to the DCF models before improved, up by 1.31% and 1.25%, and the proposed ADCF models by 1.79%, 2.17

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Jukema, Bernard N., Titus A. P. de Hond, Martijn Kroon, Anna E. Maranus, Leo Koenderman, and Karin A. H. Kaasjager. "Point-of-Care neutrophil and monocyte surface markers differentiate bacterial from viral infections at the emergency department within 30 minutes." Journal of Leukocyte Biology, January 3, 2024. http://dx.doi.org/10.1093/jleuko/qiad163.

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Abstract Rapid discrimination between viral and bacterial infections in a Point-of-Care setting will improve clinical outcome. Expression of CD64 on neutrophils (neuCD64) increases during bacterial infections, whereas expression of CD169 on classical monocytes(cmCD169) increases during viral infections. The diagnostic value of automated Point-of-Care neuCD64 and cmCD169 analysis was assessed for detecting bacterial and viral infections at the Emergency Department (ED). Additionally, their value as input for machine learning models was studied. A prospective observational cohort study in patien

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Quan, Jihong, and Jiyue Quan. "Building a Korean Language Teaching Resource Library Based on Python Crawler." Applied Mathematics and Nonlinear Sciences 9, no. 1 (2024). http://dx.doi.org/10.2478/amns-2024-1510.

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Abstract Nowadays, with the popularization of online education how to efficiently and accurately obtain the required educational resources from web pages is one of the key concerns in the teaching process. Based on the principle of maximum distance, the study improves the K-mean and establishes a learner group feature model based on the DM-K-mean clustering algorithm. In addition, for the problem that the importance of learning resources to learners changes with time, this paper integrates the time information into the neural collaborative filtering algorithm through the clustering classificat

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Dissertations / Theses on the topic "NeuCDCF"

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Vijaikumar, M. "Neural Models for Personalized Recommendation Systems with External Information." Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5667.

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Personalized recommendation systems use the data generated by user-item interactions (for example, in the form of ratings) to predict different users interests in available items and recommend a set of items or products to the users. The sparsity of data, cold start, and scalability are some of the important challenges faced by the developers of recommendation systems. These problems are alleviated by using external information, which can be in the form of a social network or a heterogeneous information network, or cross-domain knowledge. This thesis develops novel neural network models for de

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Book chapters on the topic "NeuCDCF"

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Gjerløv, Per. "NEUCC." In IFIP Advances in Information and Communication Technology. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17145-6_12.

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