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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2929789
Abstract: Recently, deep learning has gained great popularity in the area of recommender systems. Various combinations of deep learning, collaborative recommendation and content-based recommendation have occurred. However, as one of the three most significant recommendation techniques,…
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Keywords:
hybrid recommendation;
recommendation;
deep learning;
recommendation model ... See more keywords
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2
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3260103
Abstract: Travelling is one of the most enjoyable activities for people of all ages. It is constantly looking for innovative solutions on how to tailor travel recommendations to the needs of its customers. The purpose of…
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Keywords:
recommendation model;
recommendation;
based photos;
user social ... See more keywords
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1
Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3153342
Abstract: Drug recommendation task based on the deep learning model has been widely studied and applied in the health care field in recent years. However, the accuracy of drug recommendation models still needs to be improved.…
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Keywords:
recommendation model;
recommendation;
drug recommendation;
ddi ... See more keywords
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Published in 2023 at "Frontiers in Public Health"
DOI: 10.3389/fpubh.2023.1098206
Abstract: Based on the online patient-physician communication data, this study used natural language processing and machine learning algorithm to construct a medical intelligent guidance and recommendation model. First, based on 16,935 patient main complaint data of…
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Keywords:
recommendation model;
patient physician;
recommendation;
guidance recommendation ... See more keywords
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1
Published in 2022 at "Axioms"
DOI: 10.3390/axioms11060265
Abstract: The recommendation of the optimal selling rules for any product or service is challenging, owing to the complexity of the customer’s behavior and the competitiveness existing in the telecom retail industry. This study proposes a…
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Keywords:
recommendation model;
telecom retail;
selling rules;
retail industry ... See more keywords
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2
Published in 2023 at "Entropy"
DOI: 10.3390/e25040638
Abstract: Hybrid recommendation algorithms perform well in improving the accuracy of recommendation systems. However, in specific applications, they still cannot reach the requirements of the recommendation target due to the gap between the design of the…
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Keywords:
recommendation model;
recommendation;
feature;
model ... See more keywords