Knowledge Science, Engineering and Management

1. Front Matter

   Pages i-xx

   PDF

2. Machine Learning

   1. Front Matter

      Pages 1-1

      PDF

   2. MA-TREX: Mutli-agent Trajectory-Ranked Reward Extrapolation via Inverse Reinforcement Learning

      • Sili Huang, Bo Yang, Hechang Chen, Haiyin Piao, Zhixiao Sun, Yi Chang

      Pages 3-14

   3. An Incremental Learning Network Model Based on Random Sample Distribution Fitting

      • Wencong Wang, Lan Huang, Hao Liu, Jia Zeng, Shiqi Sun, Kainuo Li et al.

      Pages 15-26

   4. Parameter Optimization and Weights Assessment for Evidential Artificial Immune Recognition System

      • Rihab Abdelkhalek, Zied Elouedi

      Pages 27-38

   5. Improving Policy Generalization for Teacher-Student Reinforcement Learning

      • Gong Xudong, Jia Hongda, Zhou Xing, Feng Dawei, Ding Bo, Xu Jie

      Pages 39-47

3. Recommendation Algorithms and Systems

   1. Front Matter

      Pages 49-49

      PDF

   2. Towards Effective Top-k Location Recommendation for Business Facility Placement

      • Pu Wang, Wei Chen, Lei Zhao

      Pages 51-63

   3. Pairwise-Based Hierarchical Gating Networks for Sequential Recommendation

      • Kexin Huang, Ye Du, Li Li, Jun Shen, Geng Sun

      Pages 64-75

   4. Time-Aware Attentive Neural Network for News Recommendation with Long- and Short-Term User Representation

      • Yitong Pang, Yiming Zhang, Jianing Tong, Zhihua Wei

      Pages 76-87

   5. A Time Interval Aware Approach for Session-Based Social Recommendation

      • Youjie Zhang, Ting Bai, Bin Wu, Bai Wang

      Pages 88-95

   6. AutoIDL: Automated Imbalanced Data Learning via Collaborative Filtering

      • Jingqi Zhang, Zhongbin Sun, Yong Qi

      Pages 96-104

   7. Fusion of Domain Knowledge and Text Features for Query Expansion in Citation Recommendation

      • Yanli Hu, Chunhui He, Zhen Tan, Chong Zhang, Bin Ge

      Pages 105-113

   8. Robust Sequence Embedding for Recommendation

      • Rongzhi Zhang, Shuzi Niu, Yucheng Li

      Pages 114-122

   9. Deep Generative Recommendation with Maximizing Reciprocal Rank

      • Xiaoyi Sun, Huafeng Liu, Liping Jing, Jian Yu

      Pages 123-130

   10. Spatio-Temporal Attentive Network for Session-Based Recommendation

       • Chunkai Zhang, Junli Nie

       Pages 131-139

4. Social Knowledge Analysis and Management

   1. Front Matter

      Pages 141-141

      PDF

   2. Category-Level Adversarial Network for Cross-Domain Sentiment Classification

      • Shaokang Zhang, Huailiang Peng, Yanan Cao, Lei Jiang, Qiong Dai, Jianlong Tan

      Pages 143-154

   3. Seeds Selection for Influence Maximization Based on Device-to-Device Social Knowledge by Reinforcement Learning

      • Xu Tong, Hao Fan, Xiaofei Wang, Jianxin Li, Xin Wang

      Pages 155-167

   4. CIFEF: Combining Implicit and Explicit Features for Friendship Inference in Location-Based Social Networks

      • Cheng He, Chao Peng, Na Li, Xiang Chen, Zhengfeng Yang, Zhenhao Hu

      Pages 168-180

This two-volume set of LNAI 12274 and LNAI 12275 constitutes the refereed proceedings of the 13th International Conference on Knowledge Science, Engineering and Management, KSEM 2020, held in Hangzhou, China, in August 2020.*

The 58 revised full papers and 27 short papers were carefully reviewed and selected from 291 submissions. The papers of the first volume are organized in the following topical sections: knowledge graph; knowledge representation; knowledge management for education; knowledge-based systems; and data processing and mining. The papers of the second volume are organized in the following topical sections: machine learning; recommendation algorithms and systems; social knowledge analysis and management; text mining and document analysis; and deep learning.

*The conference was held virtually due to the COVID-19 pandemic.

• artificial intelligence
• classification
• computer networks
• computer vision
• data mining
• databases
• education
• image processing
• information retrieval
• information systems applications
• internet
• knowledge-based system
• machine learning
• network protocols
• neural networks
• semantics
• signal processing
• social networks

• Deakin University, Geelong, Australia

  Gang Li

• University of Electronic Science and Technology of China, Chengdu, China

  Heng Tao Shen

• Beijing Institute of Technology, Beijing, China

  Ye Yuan

• Zhejiang Gongshang University, Hangzhou, China

  Xiaoyang Wang

• Zhejiang Normal University, Jinhua, China

  Huawen Liu

• National University of Defense Technology, Changsha, China

  Xiang Zhao