IJCAI'20最新推荐系统论文聚焦
Posted 机器学习与推荐算法
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时间过得真快,仿佛昨天刚整理完,今天就要开始整理2020年IJCAI中关于推荐系统的论文了。
首先,我们来说一说今年的IJCAI。好像一直在被吐槽,从一开始的灭霸操作5147 篇文章直接Summary Reject掉2191篇文章(拒稿率42%),这一操作让许多投稿人一脸懵逼。可想而知今年的接收率达到了历史最低,仅为12.6%,于是小磊把近5年的接收率做了个图表,发现一路走低,看来AI女神要回归了。大家可以搞个神经网络来进行下一年的接收率预测了(逃)。另一个被吐槽的操作是今年的会议大概率不开了,要拖到明年1月份,到时候许多新的idea可能已经成了明日黄花。
然后,再分析本次的论文接收列表,分别对论文标题和作者进行统计分析,并制作了词云如下。
通过对标题进行可视化发现,深度神经网络(Deep, Neural, Network)依然是主力;图(Graph)作为数据呈现的主要形式被广泛研究;大部分研究者利用的技术依然是Adversarial、Attention等。
通过对作者进行可视化发现,研究人员中出现很大比例的姓氏为张,王,李,刘,杨,陈等(没错,我也姓张),这让我不禁想到了《百家姓》,赵钱孙李周吴郑王....,仔细一瞅,其中也可以零星看到几个外国名字,比如George,Andrea等,可见中国研究者为人工智能事业做出了多么巨大的贡献,发表(灌水)了许多该领域的顶级论文。
最后,涉及到推荐系统的文章为17篇,主要是在Machine Learning Track中,所涉及的主题主要包括序列推荐,POI推荐,可解释推荐,跨域推荐,新闻推荐等。
Sequential RS
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Adversarial Oracular Seq2seq Learning for Sequential Recommendation
Pengyu Zhao, Tianxiao Shui, Yuanxing Zhang, Kecheng Xiao, Kaigui Bian
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Collaborative Self-Attention Network for Session-based Recommendation
Anjing Luo, Pengpeng Zhao, Yanchi Liu, Fuzhen Zhuang, Deqing Wang, Jiajie Xu, Junhua Fang, Victor S. Sheng
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Memory Augmented Neural Model for Incremental Session-based RecommendationFei Mi, Boi Faltings
Cross-Domain RS
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A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation
Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Xiaolin Zheng
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Learning Personalized Itemset Mapping for Cross-Domain Recommendation
Yinan Zhang, Yong Liu, Peng Han, Chunyan Miao, Lizhen Cui, Baoli Li, Haihong Tang
POI RS
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Contextualized Point-of-Interest Recommendation
Peng Han, Zhongxiao Li, Yong Liu, Peilin Zhao, Jing Li, Hao Wang, Shuo Shang
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Discovering Subsequence Patterns for Next POI Recommendation
Kangzhi Zhao, Yong Zhang, Hongzhi Yin, Jin Wang, Kai Zheng, Xiaofang Zhou, Chunxiao Xing
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An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins
Lu Zhang, Zhu Sun, Jie Zhang, Yu Lei, Chen Li, Ziqing Wu, Horst Kloeden, Felix Klanner
Explainable RS
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Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability
Deng Pan, Xiangrui Li, Xin Li, Dongxiao Zhu
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Synthesizing Aspect-Driven Recommendation Explanations from Reviews
Trung-Hoang Le, Hady W. Lauw
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Towards Explainable Conversational Recommendation
Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen
News RS
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User Modeling with Click Preference and Reading Satisfaction for News Recommendation
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
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HyperNews: Simultaneous News Recommendation and Active-Time Prediction via a Double-Task Deep Neural Network
Rui Liu, Huilin Peng, Yong Chen, Dell Zhang
Cold-Start In RS
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Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation Ruobing Xie, Zhijie Qiu, Jun Rao, Yi Liu, Bo Zhang, Leyu Lin
General RS
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Deep Feedback Network for Recommendation
Ruobing Xie, Cheng Ling, Yalong Wang, Rui Wang, Feng Xia, Leyu Lin
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Intent Preference Decoupling for User Representation on Online Recommender System
Zhaoyang Liu, Haokun Chen, Fei Sun, Xu Xie, Jinyang Gao, Bolin Ding, Yanyan Shen
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Neural Tensor Model for Learning Multi-Aspect Factors in Recommender Systems
Huiyuan Chen, Jing Li
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