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LDA-RR: 一种基于评分和评论的推荐方法 (LDA-RR: A Recommendation Method Based on Ratings and Reviews).

, и . 计算机科学, 44 (2): 267-269 (2017)

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Jiajin Yu

Feiqing Huang

Ying Huang

Haishi Huang

Zhida Huang

 

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Exploiting item-item relations to improve review-based rating prediction., , и . Web Intell., 16 (1): 1-13 (2018)Granular Structures Induced by Interval Sets and Rough Sets., и . RSFDGrC, том 9437 из Lecture Notes in Computer Science, стр. 49-60. Springer, (2015)A Unified Framework of Targeted Marketing using Customer Preferences., , и . Comput. Intell., 30 (3): 451-472 (2014)GPS-Based Location Recommendation Using a Belief Network Model., , и . KSEM, том 9403 из Lecture Notes in Computer Science, стр. 721-731. Springer, (2015)FAformer: parallel Fourier-attention architectures benefits EEG-based affective computing with enhanced spatial information., , , и . Neural Comput. Appl., 36 (8): 3903-3919 (2024)Resting EEG Features and Their Application in Depressive Disorders., , , , , и . WI, стр. 318-322. IEEE Computer Society, (2018)A System to Generate Mobile Data Based on Real User Behavior., , , , и . WISE Workshops, том 8182 из Lecture Notes in Computer Science, стр. 48-61. Springer, (2013)HFNF: learning a hybrid Fourier neural filter with a heterogeneous loss for sequential recommendation., , и . Appl. Intell., 54 (1): 283-300 (января 2024)A Human-Web Interaction Based Trust Model for Trustworthy Web Software Development., , , , и . Web Intelligence, стр. 914-917. IEEE Computer Society, (2008)Identifying Influential Nodes in Complex Networks: A Multiple Attributes Fusion Method., , , , и . AMT, том 8610 из Lecture Notes in Computer Science, стр. 11-22. Springer, (2014)