• Journal of Terahertz Science and Electronic Information Technology
  • Vol. 18, Issue 6, 1128 (2020)
ZHANG Jialin*, BAI Sijia, and LIU Shuang
Author Affiliations
  • [in Chinese]
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    DOI: 10.11805/tkyda2019288 Cite this Article
    ZHANG Jialin, BAI Sijia, LIU Shuang. Design of travel recommendation model based on convolutional neural network[J]. Journal of Terahertz Science and Electronic Information Technology , 2020, 18(6): 1128 Copy Citation Text show less
    References

    [3] SUN P,LI Z Y,HAN Z Y,et al. An overview of collaborative filtering recommendation algorithm[J]. Advanced Materials Research, 2013(756-759):3899-3903.

    [5] YANG Fan,XIE Hao,LI Huxiong. Video associated cross-modal recommendation algorithm based on deep learning[J]. Applied Soft Computing Journal, 2019(82):105597-1-9.

    [8] CHEN J R,WEI L D,ZHANG L. Dynamic evolutionary clustering approach based on time weight and latent attributes for collaborative filtering recommendation[J]. Chaos,Solitons and Fractals:The Interdisciplinary Journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena, 2018(114):8-18.

    [12] ZHOU Nan,DU Junping,XUE Zhe,et al. Security topics related microblogs search based on deep convolutional neural networks[J]. Neurocomputing, 2020(395):199-211.

    [13] ABDUL Ashu,CHEN Jenhui,LIAO Huayuan,et al. An emotion-aware personalized music recommendation system using a convolutional neural networks approach[J]. Applied Sciences, 2018,8(7):1103-1-16.

    [14] WANG Peng,XU Bo,XU Jiaming,et al. Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification[J]. Neurocomputing, 2016(174):806-814.

    ZHANG Jialin, BAI Sijia, LIU Shuang. Design of travel recommendation model based on convolutional neural network[J]. Journal of Terahertz Science and Electronic Information Technology , 2020, 18(6): 1128
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