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Published in 2018 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.21937
Abstract: Generally the book recommendation approaches are personalized in nature, that is, they utilize the users’ purchasing behavior to recommend them the book similar to their preferences. The main problem with the personalized recommendation is its…
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Keywords:
recommendation;
owa based;
ranking approach;
approach ... See more keywords
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Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05042-y
Abstract: With the arrival of the big data era, the amount of micro-blog users and texts is constantly increasing, and research on personalized recommendation algorithm for micro-blog texts is becoming more and more urgent. In consideration…
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Keywords:
micro blog;
recommendation algorithm;
micro;
personalized recommendation ... See more keywords
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Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-021-02950-2
Abstract: Recent research in Artificial Intelligence (AI) and recommendation systems have focused on developing highly intelligent and interactive algorithms, utilizing information’s acquired from healthcare sensor networks. Regardless of its requirement for higher computational power and the…
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Keywords:
interactive personalized;
research;
recommendation systems;
systems human ... See more keywords
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Published in 2018 at "Journal of Interdisciplinary Mathematics"
DOI: 10.1080/09720502.2018.1495599
Abstract: Abstract In the traditional e-commerce system, the keyword matching algorithm is used to implement the function of commodity search, and only the goods containing the customer input keyword can be obtained. In view of this…
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Keywords:
system;
system commerce;
commerce;
recommendation system ... See more keywords
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Published in 2022 at "International Journal of Digital Earth"
DOI: 10.1080/17538947.2022.2113463
Abstract: ABSTRACT Personalized recommender systems have been widely deployed in various scenarios to enhance user experience in response to the challenge of information explosion. Especially, personalized recommendation models based on graph structure have advanced greatly in…
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Keywords:
region aware;
personalized recommendation;
region;
aware neural ... See more keywords
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Published in 2021 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.3040909
Abstract: With the advent of the Internet of Things, especially the Internet of Vehicles, abundant environmental and mobile data can be generated continuously. A personalized recommender system is one of the important methods for solving the…
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Keywords:
personalized recommendation;
optimization based;
diversified personalized;
mobile data ... See more keywords
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Published in 2019 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2019.2912124
Abstract: In view of the great diversity and complexity of social images, it is of great significance to improve the performance of personalized recommendation by learning a user interest from large-scale social images. Deep learning, as…
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Keywords:
social images;
personalized recommendation;
interest tree;
user interest ... See more keywords
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Published in 2018 at "IEEE Transactions on Services Computing"
DOI: 10.1109/tsc.2016.2575825
Abstract: Personalized recommendation has demonstrated its effectiveness in improving the problem of information overload on the Internet. However, evidences show that due to the concerns of personal privacy, users’ reluctance to disclose their personal information has…
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Keywords:
recommendation;
preference;
sensitive subjects;
personalized recommendation ... See more keywords
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Published in 2022 at "Communications of the ACM"
DOI: 10.1145/3505266
Abstract: detailed data gathering, the number of participants is necessarily very limited, many orders of magnitude less than what would be considered necessary to train today’s state-of-the-art recommendation algorithms. Instead, the authors engaged in a sensitive…
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Keywords:
recommendation pois;
research;
pois people;
personalized recommendation ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/8161596
Abstract: This paper aims to design and implement the online political and ideological teaching system based on personalized recommendation in order to more accurately recommend teaching resources appropriate for students' learning, thus improving the learning efficiency…
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Keywords:
system;
recommendation;
personalized recommendation;
political ideological ... See more keywords
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Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11020804
Abstract: It is not easy to find learning materials of interest quickly in the vast amount of online learning materials. The purpose of this study is to find students’ interests according to their learning behaviors in…
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Keywords:
video;
personalized recommendation;
learning materials;
platform ... See more keywords