Search Results - convolutional network recommendation algorithm

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  1. 1

    Research on cross‐hierarchical graph network recommendation algorithm based on random walk and convolutional neural network by Huang, Meng, Sun, Guohui

    ISSN: 1532-0626, 1532-0634
    Published: 08.11.2021
    Published in Concurrency and computation (08.11.2021)
    “… Therefore, this article proposes a heterogeneous network recommendation algorithm based on random walk and convolutional neural network (RW‐CNN…”
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    Journal Article
  2. 2

    Multi-Behavior Enhanced Heterogeneous Graph Convolutional Networks Recommendation Algorithm based on Feature-Interaction by Li, Yang, Zhao, Fangtao, Chen, Zheng, Fu, Yingxun, Ma, Li

    ISSN: 0883-9514, 1087-6545
    Published: Philadelphia Taylor & Francis 31.12.2023
    Published in Applied artificial intelligence (31.12.2023)
    “…-item-feature, and propose the attention interaction graph convolutional neural network recommendation algorithm (ATGCN…”
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    Journal Article
  3. 3

    Research on Tourism Route Recommendation Strategy Based on Convolutional Neural Network and Collaborative Filtering Algorithm by He, Shan

    ISSN: 1939-0114, 1939-0122
    Published: London Hindawi 07.05.2022
    Published in Security and communication networks (07.05.2022)
    “… It is difficult for passengers to choose the route that suits them from the numerous routes. Given the above problems, this study proposes a travel route recommendation algorithm that combines a convolutional neural network and collaborative filtering…”
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    Journal Article
  4. 4

    Convolutional neural network and recommendation algorithm for the new model of college music education by Bai, Hua

    ISSN: 1875-9521, 1875-953X
    Published: Elsevier B.V 01.01.2024
    Published in Entertainment computing (01.01.2024)
    “… In this paper, we design a convolutional neural network music recommendation system, including a user modeling module, audio feature extraction module recommendation algorithm module, etc…”
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    Journal Article
  5. 5

    A novel Knowledge Graph recommendation algorithm based on Graph Convolutional Network by Guo, Hui, Yang, Chengyong, Zhou, Liqing, Wei, Shiwei

    ISSN: 0954-0091, 1360-0494
    Published: Abingdon Taylor & Francis 31.12.2024
    Published in Connection science (31.12.2024)
    “… Therefore, we propose a novel Knowledge Graph (KG) recommendation algorithms. Due to the availability of interaction data across numerous events, KGs also exhibit dynamics over time…”
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    Journal Article
  6. 6
  7. 7

    Optimized multi‐label convolutional neural network using modified genetic algorithm for popularity based personalized news recommendation system by Manoharan, Saravanapriya, Senthilkumar, Radha, Jayakumar, Saktheeswaran

    ISSN: 1532-0626, 1532-0634
    Published: Hoboken, USA John Wiley & Sons, Inc 30.08.2022
    Published in Concurrency and computation (30.08.2022)
    “…‐label convolutional neural network (MLCNN). The efficiency of MLCNN model highly depends on its architecture through the tuning of its hyperparameters…”
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    Journal Article
  8. 8

    Research and Analysis of Recommendation Algorithm Based on Convolutional Neural Network by Ding, Yuhang, Jiang, Wenrong

    ISSN: 1742-6588, 1742-6596
    Published: IOP Publishing 01.12.2021
    Published in Journal of physics. Conference series (01.12.2021)
    “…) algorithm which is getting more and more attention, organizes the research progress of recommendation system based on Convolutional Neural Networks (CNN…”
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    Journal Article
  9. 9

    A multitask recommendation algorithm based on DeepFM and Graph Convolutional Network by Chen, Liqiong, Bi, Xiaoyu, Fan, Guoqing, Sun, Huaiying

    ISSN: 1532-0626, 1532-0634
    Published: Hoboken Wiley Subscription Services, Inc 25.01.2023
    Published in Concurrency and computation (25.01.2023)
    “… Thus, a multitask recommendation algorithm based on DeepFM and graph convolutional network (DeepFM_GCN) is proposed…”
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    Journal Article
  10. 10

    A multi-intent-aware recommendation algorithm based on interactive graph convolutional networks by Zhang, Junsan, Gao, Hui, Xiao, Sen, Zhu, Jie, Wang, Jian

    ISSN: 2199-4536, 2198-6053
    Published: Cham Springer International Publishing 01.06.2024
    Published in Complex & intelligent systems (01.06.2024)
    “… To address the aforementioned issues, we propose a recommendation model called multi-intent-aware interactive graph convolutional network (Multi-IAIGCN…”
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    Journal Article
  11. 11

    Recommendation of Learning Resource Based on Knowledge Graph Convolutional Network by TANG Zhikang, WU Yuqi, LI Chunying, TANG Yong

    ISSN: 1000-3428
    Published: Editorial Office of Computer Engineering 15.09.2024
    Published in Ji suan ji gong cheng (15.09.2024)
    “…Aiming at random sampling and the selection of neighborhoods that may lead to unstable recommendation results in existing Knowledge Graph Convolutional Network(KGCN…”
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    Journal Article
  12. 12
  13. 13

    Deep Learning algorithm, based on convolutional neural networks, for equivalent electrical circuit recommendation for Electrochemical Impedance Spectroscopy by Sáez-Pardo, Fermín, Giner-Sanz, Juan José, Pérez-Herranz, Valentín

    ISSN: 2772-9419, 2772-9419
    Published: Elsevier B.V 01.12.2025
    Published in Systems and soft computing (01.12.2025)
    “…•Convolutional Neural Networks were optimized for the first time for EEC recommendation•The algorithm achieved better recommendation accuracies than previous AI algorithms…”
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    Journal Article
  14. 14

    Recommendation Algorithm for Multi-Task Learning with Directed Graph Convolutional Networks by Yin, Lifeng, Lu, Jianzheng, Zheng, Guanghai, Chen, Huayue, Deng, Wu

    ISSN: 2076-3417, 2076-3417
    Published: Basel MDPI AG 01.09.2022
    Published in Applied sciences (01.09.2022)
    “… In order to overcome these problems and improve the accuracy of personalized recommendation algorithms, this paper proposes a recommendation for multi-task learning based on directed graph convolutional network…”
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    Journal Article
  15. 15

    Research on Graph Network Recommendation Algorithm Based on Random Walk and Convolutional Neural Network by Huang, Meng

    Published: IEEE 05.12.2021
    “…As a general form of describing and modeling complex systems, networks widely exist in different scenes and tasks in various fields of the real world…”
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    Conference Proceeding
  16. 16

    An attention-based convolutional neural network for recipe recommendation by Jia, Nan, Chen, Jie, Wang, Rongzheng

    ISSN: 0957-4174, 1873-6793
    Published: New York Elsevier Ltd 01.09.2022
    Published in Expert systems with applications (01.09.2022)
    “… In this paper, we propose an attention-based convolutional neural network for recipe recommendation…”
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    Journal Article
  17. 17

    Music Genre Recommendations Based on Spectrogram Analysis Using Convolutional Neural Network Algorithm with RESNET-50 and VGG-16 Architecture by Purnama, Nyoman

    ISSN: 2776-3234, 2614-8404
    Published: Program Studi Teknik Informatika Universitas Trilogi 20.06.2022
    Published in JISA (Jurnal Informatika dan Sains) (20.06.2022)
    “… In this study, a spectrogram analysis was developed which will be the input feature for the Convolutional Neural Network…”
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    Journal Article
  18. 18

    Human resource recommendation algorithm based on convolutional neural network by Liu, Jiakun, Li, Haoran, Wan, Li

    Published: IEEE 28.04.2023
    “… As an important network model of deep learning, convolutional neural network has the characteristics of hierarchical structure, weight sharing, regional local perception, feature…”
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    Conference Proceeding
  19. 19

    College Student Employment Recommendation Algorithm Based on Convolutional Neural Network by Zhang, Liwen, Wei, Liu

    Published: IEEE 01.09.2022
    “… Accelerating school development plays a vital role. The purpose of this paper is to study the research and design of college students' employment recommendation algorithm based on convolutional neural network…”
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    Conference Proceeding
  20. 20

    PRAGCN: Personalized Recommendation Algorithm based on Graph Convolutional Network Technology by Xie, Zheng, Zhang, Biao

    Published: IEEE 01.11.2022
    “…The recommendation system aims to provide users with personalized matching services, so as to effectively alleviate the problem of information overload in the era of big data, improve user experience…”
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    Conference Proceeding