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| 前言 |
| | Published September 18, 2021 |
| | 2021,6(5):0 [Abstract] [View PDF(156.75 K)] |
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| Heterogeneous Information Network based Recommender Systems: a survey |
| | LIU Jiawei, SHI Chuan, YANG Cheng, Philip S. Yu |
| | Published September 18, 2021 |
| | 2021,6(5):1-16 [Abstract] [View PDF(2.72 M)] |
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| Survey of Collaborative Filtering Recommender Systems |
| | ZHAO Junyi, ZHUANG Fuzhen, AO Xiang, HE Qing, JIANG Huiqin, MA Ling |
| | Published September 18, 2021 |
| | 2021,6(5):17-34 [Abstract] [View PDF(1.11 M)] |
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| Knowledge-enhanced Recommender Systems: A Survey and Prospect |
| | YANG Deqing, XIA Xi, YE Lin, XUE Lyuxin, XIAO Yanghua |
| | Published September 18, 2021 |
| | 2021,6(5):35-51 [Abstract] [View PDF(1.23 M)] |
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| Details Matter: Revisiting Experimental Settings in Recommender Systems |
| | SHI Shaoyun, WANG Chenyang, MA Weizhi, ZHANG Min, LIU Yiqun, MA Shaoping |
| | Published September 18, 2021 |
| | 2021,6(5):52-67 [Abstract] [View PDF(1.07 M)] |
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| Modeling User Preference for Personalized Conversational Recommendation |
| | SHANG Chenzhan, ZHAO Xin |
| | Published September 18, 2021 |
| | 2021,6(5):68-76 [Abstract] [View PDF(556.72 K)] |
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| Deep learning recommender system based on tensor decomposition of meta-paths of heterogeneous information networks |
| | XU Ronghai, WANG Changdong |
| | Published September 18, 2021 |
| | 2021,6(5):77-87 [Abstract] [View PDF(2.13 M)] |
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| Adversarial Sampling for Social Recommender |
| | ZHAO Yu, GUO Guibing, JIANG Linying |
| | Published September 18, 2021 |
| | 2021,6(5):88-98 [Abstract] [View PDF(552.42 K)] |
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| A Faster Optimization Mechanism for Large-scale Graph Recommendation Models |
| | YANG Zhengyi, WU Bin, WANG Xiang, HE Xiangnan |
| | Published September 18, 2021 |
| | 2021,6(5):99-109 [Abstract] [View PDF(445.87 K)] |
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| Tri-task Variational Autoencoder for Modeling of Biased and Unbiased Unary Feedback in Recommender Systems |
| | LIN Zinan, LIU Dugang, PAN Weike, MING Zhong |
| | Published September 18, 2021 |
| | 2021,6(5):110-127 [Abstract] [View PDF(803.01 K)] |
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| Research on Interpretability of Recommendation System based on Text Attention Mechanism |
| | ZHU Rui, LIU Bulou, LIU Yiyu, ZOU Xinyu, LI Chenliang |
| | Published September 18, 2021 |
| | 2021,6(5):128-143 [Abstract] [View PDF(2.11 M)] |
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| Recommendation model based on fine-grained feature interaction |
| | YANG Zhenyu, LIU Guojing, WANG Yu |
| | Published September 18, 2021 |
| | 2021,6(5):144-155 [Abstract] [View PDF(2.57 M)] |
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| Trust Evaluation of News Recommendation Algorithms |
| | LIU Zongzhen, ZHANG Xiaodan, GUO Tao, GE Jingguo, ZHOU Xi, WANG Yuhang, CHEN Jiadi, LV Honglei, LIN Junyu |
| | Published September 18, 2021 |
| | 2021,6(5):156-168 [Abstract] [View PDF(709.30 K)] |
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| Time-Aware Hierarchical Self-Attention Networks for User Intent Prediction on E-Commerce Platforms |
| | WANG Senzhang, LIU Yi, ZHANG Jiaqiang, YIN Chengyu |
| | Published September 18, 2021 |
| | 2021,6(5):169-180 [Abstract] [View PDF(2.39 M)] |
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| Fashion Graph-enhanced Personalized Complementary Clothing Recommendation |
| | SHI Jinwan, SONG Xuemeng, LIU Zixin, NIE Liqiang |
| | Published September 18, 2021 |
| | 2021,6(5):181-198 [Abstract] [View PDF(2.96 M)] |
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| The Method for Identifying the Conversation Responding Relationships using Graph Representation Learning |
| | LIANG Yongming, TIAN Tian, YANG Xiaoyu, ZHANG Xi, QIU Lirong |
| | Published September 18, 2021 |
| | 2021,6(5):199-214 [Abstract] [View PDF(1.21 M)] |
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