Reviewing Personalizing Filtering Approaches in Web

Yusof, Nor Nadiah; Mohamed, Azlinah; Abdul-Rahman, Shuzlina

doi:10.1109/icaiet.2014.20

Cited by 1 publication

(2 citation statements)

References 25 publications

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“…One interesting finding is only 1 paper was found discussed on hybrid filtering technique. Hybrid filtering technique is a combination of content-based filtering technique [22] and collaborative filtering technique [23]. The hybrid filtering technique consists of both content-based filtering and collaborative filtering techniques advantages [32].…”

Section: Discussionmentioning

confidence: 99%

“…As we reviewed the literature, we found several existing techniques for recommender system [18][19][20][21][22][23][24][25][26], but we do not know which one is the most appropriate for BG recommender system, particularly for patients with GDM. Therefore, in this study, we review research studies about BG recommender system that used several techniques to incorporate the BG recommender system and BG models for GDM.…”

Section: Introductionmentioning

confidence: 99%

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A mapping study on blood glucose recommender system for patients with gestational diabetes mellitus

Rosli¹,

Rosli²,

Nordin³

2019

Bulletin EEI

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Blood glucose (BG) prediction system can help gestational diabetes mellitus (GDM) patient to improve the BG control with managing their dietary intake based on healthy food. Many techniques have been developed to deal with blood glucose prediction, especially those for recommender system. In this study, we conduct a systematic mapping study to investigate recent research about BG prediction in recommender systems. This study describes an overview of research (2014-2018) about BG prediction techniques that has been used for BG recommender system. As results, 25 studies concerning BG prediction in recommender system were selected. We observed that although there is numerous studies published, only a few studies took serious discussion about techniques used to incorporate the BG algorithms. Our result highlighted that only one study discusses hybrid filtering technique in BG recommender system for GDM even though it has an ability to learn from experience and to improve prediction performance. We hope that this study will encourage researchers to consider not only machine learning and artificial intelligent techniques but also hybrid filtering technique for BG recommender system in the future research.

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Section: Discussionmentioning

confidence: 99%