Suchergebnisse - "Recommendation"
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1
Autoren: et al.
Quelle: Acta Oncologica. 64:616-622
Schlagwörter: Bladder cancer, multidisciplinary team meeting, treatment recommendation, guidelines, scoring system, complexity factors
Dateibeschreibung: electronic
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2
Autoren: et al.
Quelle: eLLIIT – The Linköping – Lund Initiative on IT and Mobile Communication Journal of Visualization. 28:133-151
Schlagwörter: ML4VIS, AI4VIS, Visualization, Cybersecurity, Neural networks, Parametric dimensionality reduction, Chart recommendation, Informations- och programvisualisering, Information and software visualization
Dateibeschreibung: electronic
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3
Autoren:
Quelle: European Journal of Clinical Microbiology and Infectious Diseases. 44(8):1953-1958
Schlagwörter: Borrelia serology, Diasorin, Dilution recommendation, Dilution threshold, IgG antibodies, Immunoassay optimization, Liaison Borrelia IgG immunoassay, Lyme disease diagnostics, Overdilution, Prozone phenomenon
Dateibeschreibung: print
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4
Autoren: Orama, Ayebakuro Jonathan
Weitere Verfasser: University/Department: Universitat Rovira i Virgili. Departament d'Enginyeria Informàtica i Matemàtiques
Thesis Advisors: Moreno Ribas, Antonio, Borràs Nogués, Joan
Quelle: TDX (Tesis Doctorals en Xarxa)
Schlagwörter: Intel.ligència artificial, Sistemas de recomanació, Turismo, Inteligencia artificial, Sistemas de recomendación, Turisme, Artificial Intelligence, Recommendation Systems, Tourism, Enginyeria i arquitectura
Dateibeschreibung: application/pdf
Zugangs-URL: http://hdl.handle.net/10803/687756
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5
Autoren:
Quelle: Alexandria Engineering Journal, Vol 129, Iss, Pp 216-225 (2025)
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6
Autoren: Tovstogan, Philip
Weitere Verfasser: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions
Thesis Advisors: Serra, Xavier, Bogdanov, Dmitry
Quelle: TDX (Tesis Doctorals en Xarxa)
Schlagwörter: Music information retrieval, Music exploration, Music discovery, Deep learning, Auto-tagging, Dataset, Recommendation systems, Visualization, Interface, User study, Music similarity, Personal music collections, Nearest neighbors, Latent spaces, Content-based similarity, Collaborative filtering, Recuperació d'informació musical, Exploració musical, Descobriment musical, Aprenentatge profund, Etiquetatge automàtic, Conjunt de dades, Sistemes de recomanació, Visualització, Interfície, Estudis amb usuaris, Similitud musical, Col·leccions de música personals, Veïns propers, Espais latents, Similitud basada en contingut, Filtratge col·laboratiu
Dateibeschreibung: application/pdf
Zugangs-URL: http://hdl.handle.net/10803/675031
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7
Autoren: et al.
Quelle: Food & Nutrition Research. 69
Schlagwörter: Article, bakery product, carbohydrate diet, carbohydrate quality, cereal, cheese, controlled study, dairy cream, fish, flour, fruit, lipid diet, nonhuman, Nordic Nutrition Recommendation, Nutri-Score, nutrient profiling, nutrition, nutrition labeling, nutritional value, pasta, practice guideline, protein diet, public health, public policy, Scandinavia, scoring system, sugar intake, vegetable, whole grain
Dateibeschreibung: electronic
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8
Autoren: et al.
Quelle: Energy Efficiency. 18
Schlagwörter: Optimal time recommendation model ·Demand-side management · Behaviour change ·Dishwasher
Dateibeschreibung: electronic
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9
Autoren:
Quelle: Big Data and Cognitive Computing. 9(5)
Dateibeschreibung: print
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10
Autoren:
Quelle: International Journal of Production Economics. 280
Schlagwörter: Apparel retailer, E-commerce, Item-based cold start, Recommendation system
Dateibeschreibung: print
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11
Autoren: et al.
Quelle: Review of Behavioral Finance. 16(5):860-882
Schlagwörter: Confidence, Financial analyst, Investment recommendation, Non-professional versus professional investors, Return prediction, Trust, Research on Citizen Centered Health, University of Skövde (Reacch US), Medborgarcentrerad hälsa (Mech)
Dateibeschreibung: electronic
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12
Autoren: et al.
Quelle: Future Internet. 16(1):1-21
Schlagwörter: Educational Content Recommendation, AI-Enhanced Learning, Pre-Trained Language Models, Ensemble Embeddings, Knowledge Graph Embeddings, Text Similarity, Textual Semantic Search, Natural Language Processing, Computer and Systems Sciences, data- och systemvetenskap
Dateibeschreibung: electronic
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13
Autoren: et al.
Weitere Verfasser: et al.
Quelle: European Journal of Operational Research. 328:232-245
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14
Autoren:
Quelle: IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
Schlagwörter: Metadata, Technology and Engineering, multiple-view visualization, visualization recommendation, Monitoring, knowledge graph, Data visualization, Task analysis, Medical services, Knowledge graphs, Recommender systems, dynamic dashboard, ontology
Dateibeschreibung: application/pdf
Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38869997
http://hdl.handle.net/1854/LU-01K47V063WKZVZF4TKH9PEEEQX
https://biblio.ugent.be/publication/01K47V063WKZVZF4TKH9PEEEQX
https://biblio.ugent.be/publication/01K47V063WKZVZF4TKH9PEEEQX/file/01K47V0Z338M858PG3RTKAN65F
http://doi.org/10.1109/TVCG.2024.3414191 -
15
Autoren: et al.
Quelle: IEEE Transactions on Visualization and Computer Graphics. 31:5562-5579
Schlagwörter: FOS: Computer and information sciences, unobtrusive visualization recommendation, user study, Computer Science - Graphics, Computer Science - Human-Computer Interaction, input-output model, literature analysis, Graphics (cs.GR), Human-Computer Interaction (cs.HC), mixed-initiative system
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16
Autoren:
Quelle: Eastern-European Journal of Enterprise Technologies; Vol. 4 No. 2 (136) (2025): Information technology. Industry control systems; 70-80
Eastern-European Journal of Enterprise Technologies; Том 4 № 2 (136) (2025): Інформаційні технології. Системи управління в промисловості; 70-80Schlagwörter: word weight, фільтрація на основі контенту, term frequency-invers document frequency (TF-IDF), feature extraction, традиційна медицина, семантичний зв'язок, traditional medicine, semantic relationship, dimension, recommendation system, вилучення ознак, розмір вікна, window size, content-based filtering, розмірність, Word2Vec, частота слова-обернена частота документа, вага слова, система рекомендацій
Dateibeschreibung: application/pdf
Zugangs-URL: https://journals.uran.ua/eejet/article/view/338128
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17
Autoren: et al.
Quelle: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi); Vol 9 No 4 (2025): August 2025; 886-893
Schlagwörter: neural collaborative filtering, recommendation system, review, tourism, rating
Dateibeschreibung: application/pdf
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18
Autoren:
Quelle: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi); Vol 9 No 4 (2025): August 2025; 754-764
Schlagwörter: recommendation system, document classification, cosine similarity, fine-tuning, BERT
Dateibeschreibung: application/pdf
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19
Autoren: et al.
Quelle: Big Data Mining and Analytics, Vol 8, Iss 4, Pp 820-836 (2025)
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20
Autoren: et al.
Quelle: Pharmacy Practice. 23:1-10
Schlagwörter: drug therapy problem, pharmacists' recommendation, elderly
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