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.
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Houda El Bouhissi obtuvo su maestría y su doctorado en Informática en la Universidad de Sidi-Bel-Abbès (Argelia), en 2008 y 2015 respectivamente. En la actualidad, es profesora acreditada en la Universidad de Bejaia (Argelia). Sus intereses de investigación incluyen Big Data, análisis de sentimientos, aprendizaje y recomendación.
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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 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. 72 pp. Englisch. Bestandsnummer des Verkäufers 9786204376592
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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 them. In addition, diet and its impact. Bestandsnummer des Verkäufers 542993866
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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. Bestandsnummer des Verkäufers 9786204376592
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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, 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. Bestandsnummer des Verkäufers 9786204376592
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Anbieter: preigu, Osnabrück, Deutschland
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, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 120962139
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