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1
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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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3381032
Abstract: One of the challenging decisions for students is taking a job specialization. To make their decisions, they use subjective perceptions of friends or family due to the lack of guidance and limited resources. This increases…
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Keywords:
path recommendation;
career path;
recommendation model;
model ... 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 2024 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2023.3339702
Abstract: In recent years, recommendation systems have gained popularity in the financial services industry. These systems offer personalized recommendations to consumers based on their distinct preferences, behaviors, and historical data. Centralized data storage and processing used…
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Keywords:
empowered recommendation;
recommendation model;
model;
federated learning ... See more keywords
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Published in 2024 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2024.3381186
Abstract: The popularity of recommendation models and the enhanced AI processing capability of CPUs have provided massive performance opportunities to deliver satisfactory experiences to a large number of users. Unfortunately, existing recommendation model training methods fail…
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Keywords:
recommendation model;
level;
atrec;
recommendation ... See more keywords
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1
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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Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14125022
Abstract: This paper addresses the challenges of data sparsity and personalization limitations inherent in current recommendation systems when processing extensive academic paper datasets. To overcome these issues, the present work introduces an innovative recommendation model that…
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Keywords:
recommendation model;
academic paper;
paper;
knowledge ... 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