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推荐系统工业界顶会论文总结——AAAI 2021

知乎专栏

  1. Who You Would Like to Share With? A Study of Share Recommendation in Social E-Commerce
    Author(Institute): Junxiong Zhu(Alibaba二作)
    KeyWords: Share Recommendation; Social E-commerce
    Dataset: Taobao

  2. A Hybrid Bandit Framework for Diversified Recommendation
    Author(Institute): Qinxu Ding(Alibaba)
    KeyWords: Diversified Recommendation
    Dataset: Movielens-100K; Movielens-1M; Anime

  3. FairRec: Fairness-aware News Recommendation with Decomposed Adversarial Learning
    Author(Institute): Fangzhao Wu(Microsoft)
    KeyWords: Decomposed Adversarial Learning; News Recommendation

  4. Out-of-Town Recommendation with Travel Intention Modeling
    Author(Institute): Xinjiang Lu(Baidu二作)
    KeyWords: Out-of-Town Recommendation; POIs
    Dataset: real-world travel behavior datasets

  5. Personalized Adaptive Meta Learning for Cold-Start User Preference Prediction
    Author(Institute): Yu Gong(Alibaba二作)
    KeyWords: Preference prediction; Cold-start; Meta Learning
    Dataset: MovieLens1M; BookCrossing

  6. Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation Author(Institute): Kai Wang(NetEase)
    KeyWords: Reinforcement Learning; Item Recommendation
    Dataset: MovieLens25m; Taobao; RecSys15; YooChoose

  7. RevMan: Revenue-Aware Multi-Task Online Insurance Recommendation
    Author(Institute): Yi Zhang(WeSure)
    KeyWords: Revenue-aware; Insurance Recommendation

  8. Graph Heterogeneous Multi-Relational Recommendation
    Author(Institute): Xiuqiang He(Huawei二作)
    KeyWords: Multi-Relational Recommendation
    Dataset: Beibei; Taobao

  9. Hierarchical Reinforcement Learning for Integrated Recommendation
    Author(Institute): Ruobing Xie(Wechat)
    KeyWords: Integrated Recommendation; Reinforcement Learning
    Dataset: IRec-4B

  10. U-BERT: Pre-Training User Representations for Improved Recommendation
    Author(Institute): Zhaopeng Qiu(Tencent)
    KeyWords: U-BERT
    Dataset: Amazon; Yelp

  11. Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation
    Author(Institute): Chao Huang(JD二作)
    KeyWords: Multi-Behavior Recommendation; Graph Transformer
    Dataset: Yelp; ML10M; Online Retail

  12. A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models
    Author(Institute): Fajie Yuan(Tencent二作)
    KeyWords: Sequential Recommender Systems
    Dataset: Weishi; ML20; ML100

  13. DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems
    Author(Institute): Changsheng Gu(Bytedance二作)
    KeyWords: Deep Reinforcement Learning; Online Advertising
    Dataset: Douyin

  14. Noninvasive Self-Attention for Side Information Fusion in Sequential Recommendation
    Author(Institute): Xiaoguang Li(Huawei二作)
    KeyWords: Sequential Recommendation; Attention
    Dataset: ML-1m; ML-20m

  15. Knowledge-Enhanced Top-K Recommendation in Poincaré Ball
    Author(Institute): Yingxue Zhang(Huawei二作)
    KeyWords: Knowledge-Enhanced; Top-K Recommendation
    Dataset: Amazon-book; Last-FM; Yelp2018

  16. Dynamic Memory Based Attention Network for Sequential Recommendation
    Author(Institute): Jianwei Zhang(Alibaba二作)
    KeyWords: Sequential Recommendation; Attention
    Dataset: MovieLens; Taobao; JD; XLong

  17. Asynchronous Stochastic Gradient Descent for Extreme-Scale Recommender Systems
    Author(Institute): Kun Zhao(Alibaba二作)
    KeyWords: Extreme-Scale Recommender Systems

  18. On Estimating Recommendation Evaluation Metrics under Sampling
    Author(Institute): Jing Gao(iLambda二作)
    KeyWords: Metrics
    Dataset: ml-1m; citeulike

  19. Knowledge-Aware Coupled Graph Neural Network for Social Recommendation
    Author(Institute): Chao Huang(JD)
    KeyWords: Social Recommendation; Graph Neural Network
    Dataset: Epinions; Yelp; E-Commerce

  20. Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-Based Recommendation
    Author(Institute): Chao Huang(JD)
    KeyWords: Session-based Recommendation
    Dataset: Yoochoose; Diginetica; Retailrocket