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推荐系统工业界顶会论文总结——WWW 2021

知乎专栏

  1. Future-Aware Diverse Trends Framework for Recommendation
    Author(Institute): Yujie Lu(Tencent)
    KeyWords: user modeling; future-aware; diverse trends
    Dataset: Amazon Books; Steam; MovieLens-1M

  2. Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities
    Author(Institute): Konstantina Christakopoulou(Google二作)
    KeyWords: recommender systems

  3. Task-adaptive Neural Process for User Cold-Start Recommendation
    Author(Institute): Bin Wang(Xiaomi六作)
    KeyWords: User cold-start recommendation; Meta learning; Neural process
    Dataset: MovieLens-1M; Last.FM; Gowalla

  4. A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising
    Author(Institute): Shiyao Wang(Alibaba)
    KeyWords: Hybrid Bandit Model; Visual Priors; Creative Ranking
    Dataset: Alibaba

  5. Large-scale Comb-K Recommendation
    Author(Institute): Junxiong Zhu(Alibaba二作)
    KeyWords: graph neural networks; recommendation; graph mining
    Dataset: Taobao

  6. FM^2: Field-matrixed Factorization Machines for CTR Prediction
    Author(Institute): Yang Sun(Yahoo)
    KeyWords: Factorization Machines; CTR prediction
    Dataset: Criteo; Avazu

  7. Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning
    Author(Institute): Hengshu Zhu(Baidu三作)
    KeyWords: Skill Recommendation; Data Mining

  8. Where Next? A Dynamic Model of User Preferences
    Author(Institute): Lucas Maystre(Spotify二作)
    KeyWords: time series; diversity; user modelling
    Dataset: Spotify; Last. [fm; MovieLens; Yelp

  9. DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems
    Author(Institute): Ruoxi Wang(Google)
    KeyWords: Web-scale Learning; Rank Systems
    Dataset: Criteo; MovieLen-1M; Production

  10. Cross-Positional Attention for Debiasing Clicks
    Author(Institute): Honglei Zhuang(Google)
    KeyWords: Examination bias; cross-positional attention; click models
    Dataset: YAHOO; Chrome Web Store

  11. FINN: Feedback Interactive Neural Network for Intent Recommendation
    Author(Institute): Yatao Yang(Alibaba)
    KeyWords: Intent recommendation
    Dataset: Taobao

  12. Learning Intents behind Interactions with Knowledge Graph for Recommendation
    Author(Institute): Dingxian Wang(eBay)
    KeyWords: Knowledge Graph; Graph Neural Networks
    Dataset: Amazon-Book; Last-FM; Alibaba-iFashion

  13. A Model of Two Tales-Dual Transfer Learning Framework for Improved Long-tail Item Recommendation
    Author(Institute): Yin Zhang(Google)
    KeyWords: Long-tail Item Recommendation
    Dataset: MovieLens1M; Bookcrossing

  14. A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Completion
    Author(Institute): Yaqing Wang(Baidu)
    KeyWords: Low-rank Matrix Learning; Matrix Completion; Nonconvex Regularization
    Dataset: MovieLens-1M; MovieLens-10M; Yahoo

  15. HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering
    Author(Institute): Jianing Sun(Layer 6 AI)
    KeyWords: Hyperbolic Embeddings; Graph Convolutions
    Dataset: Amazon-CDs; Amazon-Books; Yelp2020

  16. Dynamic Embeddings for Interaction Prediction
    Author(Institute): Nasrullah Sheikh(IBM三作)
    KeyWords: Dynamic Embeddings; Interaction Prediction; Multi-way Attention
    Dataset: Reddit; Wikipedia; LastFM

  17. Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation
    Author(Institute): Lu Yin(Alibaba三作)
    KeyWords: self-attention, efficient-attention; sequential recommendation; quantization
    Dataset: Alibaba; ML-1M; Video Games; ML-25M

  18. Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching
    Author(Institute): Hao Liu(Baidu二作)
    KeyWords: POI

  19. Personalized Approximate Pareto-Efficient Recommendation
    Author(Institute): Ruobing Xie(Wechat)
    KeyWords: Pareto efficiency; recommendation; multi-objective optimization
    Dataset: LMOR-1.5B

  20. Drug Package Recommendation via Interaction-aware Graph Induction
    Author(Institute): Baoxing Huai(Huawei二作)
    KeyWords: Drug Recommendation; Package Recommendation; Graph Neural Network

  21. Variation Control and Evaluation for Generative Slate Recommendations
    Author(Institute): Fei Sun(Alibaba二作)
    KeyWords: Generative Recommendation; Slate Recommendation; Conditional Variational Auto-Encoder
    Dataset: YOOCHOOSE; MovieLens 100K

  22. Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning
    Author(Institute): Hao Liu(Baidu二作)
    KeyWords: Charging station recommendation; multi-agent reinforcement learning; multi-objective optimization
    Dataset: Baidu Maps

  23. Field-aware Embedding Space Searching in Recommender Systems
    Author(Institute): Bo Long(JD四作)
    KeyWords: Embedding; AutoML
    Dataset: Criteo

  24. User Simulation via Supervised Generative Adversarial Network
    Author(Institute): Lixin Zou(Baidu四作)
    KeyWords: User Simulation; Generative Adversarial Network; Reinforcement Learning
    Dataset: JD