Recommendation Framework for Diet and Exercise Based on Clinical Data: A Systematic Review

Vairale, Vaishali S.; Shukla, Samiksha

doi:10.1007/978-981-10-7641-1_29

Cited by 9 publications

(3 citation statements)

References 40 publications

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“…To achieve this, recommender systems are able to generate recommendations based on profile, interests, and past preferences (Yusof and Noah, 2017). In the food domain, main techniques include collaborative filtering, content-based, knowledge-based and hybrid methods (Vairale and Shukla, 2019). In our case content-based and knowledge-based methods are considered adequate as the former can filter based on the previous choices, while the latter is able to utilize explicitly defined requirements (Bianchini et al, 2017) with the combination of case-based and constraint-based doi: 10.17700/jai.2021.12.1.615 9 Szilvia Botos, Mihály Tóth, Róbert Szilágyi: Improving Food Consciousness -Opportunities of Smartphone Apps to Access Food Information suggestion (Vairale and Shukla, 2019).…”

Section: Description Of a Possible System Architecturementioning

confidence: 99%

“…In the food domain, main techniques include collaborative filtering, content-based, knowledge-based and hybrid methods (Vairale and Shukla, 2019). In our case content-based and knowledge-based methods are considered adequate as the former can filter based on the previous choices, while the latter is able to utilize explicitly defined requirements (Bianchini et al, 2017) with the combination of case-based and constraint-based doi: 10.17700/jai.2021.12.1.615 9 Szilvia Botos, Mihály Tóth, Róbert Szilágyi: Improving Food Consciousness -Opportunities of Smartphone Apps to Access Food Information suggestion (Vairale and Shukla, 2019). Current solutions also suggest to use a hierarchical attention mechanism (Gao et al, 2020) as well as standard RNN (Recurrent Neural Networks) or CNN (Convolutional Neural Networks), depending on the specific research (Ouhbi et al, 2018).…”

Section: Description Of a Possible System Architecturementioning

confidence: 99%

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Improving Food Consciousness - Opportunities of Smartphone Apps to Access Food Information

Botos¹,

Tóth²,

Salais³

2022

JAI

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Factors of food choice have an increasingly important role in the life of consumers. Information and codes on food packages are the most widespread standard to support the decision among the many types of food products. There should be mandatory information on packages that are governed by regulations. However, there can be other labels too that help consumers in choosing food products that match personal needs and concepts, including not only nutritional information but ethical factors as well. In our literature review, we overview the current trend of food labels and the results of research on the role of food information among consumers. The focus of this study is on smartphone applications and Augmented Reality (AR) as an advanced technology to display personalized food information. In this paper, we surveyed and analyzed the attitude of young food consumers due to their personal needs, the extent of attention to package information, and the most important factors when purchasing goods. We also surveyed the interest in smartphone applications that may support the decision. Our results suggest that there is a willingness to use an interactive application to gain personalized food information immediately. The majority of respondents would use an application that provides complex information service. Within the framework of the studied criteria for implementing a smartphone application using a database behind, we outline a theoretical infrastructural model too, for collecting and handling the necessary data. Our work has led us to conclude that there are opportunities of using smartphone applications to access food information and we suggest some solutions that may increase the Quality of Experience, such as AR.

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Section: Description Of a Possible System Architecturementioning

confidence: 99%

Section: Description Of a Possible System Architecturementioning

confidence: 99%

Improving Food Consciousness - Opportunities of Smartphone Apps to Access Food Information

Botos¹,

Tóth²,

Salais³

2022

JAI

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“…On the other hand, the beneficiaries are the patients. In the latter case, RS focuses on delivering high quality, evidence-based, health-related content to end-user patients, for example suggesting clinical examinations [22], lifestyle changes [23,24] , or improving patient safety [25]. Similarly, they are also used to indicate to the patient a better understanding of his/her personal health status, to retrieve semantically-related content, or to suggest web sites concerning specific diseases [26,27].…”

mentioning

confidence: 99%

Online Social Space Identification. A Computational Tool for Optimizing Social Recommendations

et al. 2020

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Conscious and functional use of online social spaces can support the elderly with mind cognitive impairment (MCI) in their daily routine, not only for systematic monitoring, but to achieve effective targeted engagement. In this sense, although social involvement can be obtained when elder’s experiences, interests, and goals are shared and accepted by the community, an important subsistence for aging depends on the compelling information, users’ co-operation, and resource reliability. Unfortunately, applications aimed at optimizing the information content and the reliability of online users are still missing. Within the SystEm of Nudge theory-based ICT applications for OldeR citizens (SENIOR) project, an advanced social platform will be created in which the elderly with MCI will be involved in “optimized” social communities, where suggestions for general well-being will be recognized as useful by users and shared by care providers. We report the results of our study addressing this issue from a theoretical perspective: we propose a computational problem and a heuristic solution where “expert users” can engage and support the elderly by suggesting available services and facilities for their conditions. The numerical experiments on synthetic data are of interest when considering large communities, which is the most natural situation for online social spaces.

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Towards Natural Language Understanding of Procedural Text Using Recipes

Mujtaba

Mahapatra

2020

Advances in Intelligent Systems and Computing

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Recommendation Framework for Diet and Exercise Based on Clinical Data: A Systematic Review

Cited by 9 publications

References 40 publications

Improving Food Consciousness - Opportunities of Smartphone Apps to Access Food Information

Improving Food Consciousness - Opportunities of Smartphone Apps to Access Food Information

Online Social Space Identification. A Computational Tool for Optimizing Social Recommendations

Towards Natural Language Understanding of Procedural Text Using Recipes

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