9786204376592 - design and implementation of a recommendation system: for the management of diabetic patients von el bouhissi epouse brahami, houda; adel, micipsa; ketam, anis (8 Ergebnisse)
Design and implementation of a recommendation system
El Bouhissi Epouse Brahami, Houda; Adel, Micipsa; Ketam, Anis
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Taschenbuch. Zustand: Neu. Design and implementation of a recommendation system | For the management of diabetic patients | Houda El Bouhissi Epouse Brahami (u. a.) | Taschenbuch | Englisch | 2021 | Our Knowledge Publishing | EAN 9786204376592 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49…078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -With the emergence of the Internet, recommender systems (SRs) arose because of their ability to handle massive amounts of information. SRs play a very important role in guiding users' decisions and making it easier for them. In additi…on, diet and its impact on well-being, metabolism and success in school, sport or work are becoming increasingly important. In this brief, we provide a systematic review of the SRs most closely related to healthcare. In addition, we offer 'HealthyFood', a new food SR based on user knowledge, and incorporating machine learning (ML) techniques, which can be used to help people find relevant foods. In particular, we are implementing HealthyFood, the general idea of which we present in this work. Preliminary results indicate that integrating machine learning techniques into SRs will provide effective and accurate recommendations. 72 pp. Englisch.
Design and implementation of a recommendation system
El Bouhissi Epouse Brahami, Houda; Adel, Micipsa; Ketam, Anis
- Softcover
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Zustand: New. Print on Demand.
Design and implementation of a recommendation system
El Bouhissi Epouse Brahami, Houda; Adel, Micipsa; Ketam, Anis
- Softcover
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Anbieter: Biblios, frankfurt am main, HESSE, DeutschlandBiblios
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. With the emergence of the Internet, recommender systems (SRs) arose because of their ability to handle massive amounts of information. SRs play a very important role in guiding users decisions and making it easier for t…hem. In addition, diet and its impact.
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Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschlandbuchversandmimpf2000
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -With the emergence of the Internet, recommender systems (SRs) arose because of their ability to handle massive amounts of information. SRs play a very important role in guiding users' decisions and making it easier for them. In addition,…diet and its impact on well-being, metabolism and success in school, sport or work are becoming increasingly important. In this brief, we provide a systematic review of the SRs most closely related to healthcare. In addition, we offer 'HealthyFood', a new food SR based on user knowledge, and incorporating machine learning (ML) techniques, which can be used to help people find relevant foods. In particular, we are implementing HealthyFood, the general idea of ¿¿which we present in this work. Preliminary results indicate that integrating machine learning techniques into SRs will provide effective and accurate recommendations.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.
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Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With the emergence of the Internet, recommender systems (SRs) arose because of their ability to handle massive amounts of information. SRs play a very important role in guiding users' decisions and making it easier for them. In addition, d…iet and its impact on well-being, metabolism and success in school, sport or work are becoming increasingly important. In this brief, we provide a systematic review of the SRs most closely related to healthcare. In addition, we offer 'HealthyFood', a new food SR based on user knowledge, and incorporating machine learning (ML) techniques, which can be used to help people find relevant foods. In particular, we are implementing HealthyFood, the general idea of which we present in this work. Preliminary results indicate that integrating machine learning techniques into SRs will provide effective and accurate recommendations.
