Skip to content

Latest commit

 

History

History
233 lines (168 loc) · 13.2 KB

KDD2022_KDD2021_AAAI2022_RS_papers.md

File metadata and controls

233 lines (168 loc) · 13.2 KB
Raw

Awesome-RSPapers

Included Conferences: KDD 2022, KDD 2021 and AAAI 2022

Task

Collaborative Filtering

  • Towards Representation Alignment and Uniformity in Collaborative Filtering KDD 2022 [用户和物品表示对齐]

  • HICF: Hyperbolic Informative Collaborative Filtering KDD 2022 [双曲空间增强表示]

Sequential/Session-based Recommendations

  • Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers KDD 2022 [序列完形填空去偏]
  • PARSRec: Explainable Personalized Attention-fused Recurrent Sequential Recommendation Using Session Partial Actions KDD 2022 [用户个性化区分]
  • Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation KDD 2022 [多行为超图增强]
  • NxtPost: User To Post Recommendations In Facebook Groups KDD 2022 [引入外部token扩充预料]
  • Recommendation in Offline Stores: A Gamification Approach for Learning the Spatiotemporal Representation of Indoor Shopping KDD 2022 [游戏化方法时空表征]
  • DiPS: Differentiable Policy for Sketching in Recommender Systems AAAI 2022 [可微分的草图策略]
  • FPAdaMetric: False-Positive-Aware Adaptive Metric Learning for Session-Based Recommendation AAAI 2022 [度量学习正则化]
  • SEMI: A Sequential Multi-Modal Information Transfer Network for E-Commerce Micro-Video Recommendations KDD 2021 [基于序列多模态信息传输网络的电商微视频推荐系统]

Knowledge-aware Recommendations

Feature Interactions

  • Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems KDD 2022 [超图捕获任意阶交互]

Conversational Recommender System

  • Extracting Relevant Information from User's Utterances in Conversational Search and Recommendation KDD 2022 [用户话语权]
  • Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning KDD 2022 [知识增强的提示学习]

Social Recommendations

News Recommendation

  • Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora KDD 2022 [个性化聊天]
  • Training Large-Scale News Recommenders with Pretrained Language Models in the Loop KDD 2022 [轻量级编码pipeline]
  • Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning KDD 2021 [新闻推荐推理的增强锚点知识图生成]

Text-aware Recommendations

  • Aligning Dual Disentangled User Representations from Ratings and Textual Content KDD 2022 [用户双重解耦表示对齐]

POI

  • Graph-Flashback Network for Next Location Recommendation KDD 2022 [引入POI相似度权重]
  • Curriculum Meta-Learning for Next POI Recommendation KDD 2021 [基于元学习的下一代兴趣点推荐系统]

Online Recommendations

  • Meta-Learning for Online Update of Recommender Systems AAAI2022 [自适应最优学习率]
  • Architecture and Operation Adaptive Network for Online Recommendations KDD 2021 [在线推荐系统的架构及其自适应网络]

Group Recommendation

Multi-task/Multi-behavior/Cross-domain Recommendations

  • Towards Universal Sequence Representation Learning for Recommender Systems KDD 2022 [引入物品描述文本]
  • Contrastive Cross-domain Recommendation in Matching KDD 2022 [对比学习捕获用户兴趣]
  • Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising KDD 2021 [序列依赖多任务学习]
  • Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising KDD 2021 [混合场景多任务学习]
  • Adversarial Feature Translation for Multi-domain Recommendation KDD 2021 [对抗特征迁移多任务学习]

Other Task

  • Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction KDD 2022 [CTR EE探索]
  • ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest KDD 2022 [多模态商品推荐]
  • Affective Signals in a Social Media Recommender System KDD 2022 [社交媒体情感信息]
  • AdaFS: Adaptive Feature Selection in Deep Recommender System KDD 2022 [自适应特征选择]

Topic

Debias in Recommender System

  • Invariant Preference Learning for General Debiasing in Recommendation KDD 2022 [不变偏好解耦]
  • Debiasing Learning based Cross-domain Recommendation KDD 2021 [迁移学习去偏]
  • Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification KDD 2022 [用户注意力对抗]
  • Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System KDD 2021 [反事实模型推断纠偏]
  • Popularity Bias in Dynamic Recommendation KDD 2021 [动态推荐系统的热度纠偏]
  • Debiasing Learning based Cross-domain Recommendation KDD 2021 [跨域推荐纠偏]
  • Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation KDD 2022 [视频时长去偏]
  • Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System KDD 2021 [不可知反事实推理模型消除推荐系统的流行偏差]

Fairness in Recommender System

  • Make Fairness More Fair: Fair Item Utility Estimation and Exposure Re-Distribution KDD 2022 [物品公平效益]
  • Comprehensive Fair Meta-learned Recommender System KDD 2022 [元学习公平性框架]
  • Online Certification of Preference-Based Fairness for Personalized Recommender Systems AAAI 2022 [强化学习探索]

Attack in Recommender System

  • Knowledge-enhanced Black-box Attacks for Recommendations KDD 2022 [知识图谱增强]
  • Debiasing Learning for Membership Inference Attacks Against Recommender Systems KDD 2022 [VAE去偏]
  • Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data KDD 2021 [不完整及扰动数据攻击推荐系统]
  • Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems KDD 2021 [基于正则化信息的流形神经网络推荐系统]
  • Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems KDD 2021 [三元对抗学习在推荐系统中毒攻击]

Explanation in Recommender System

Long-tail/Cold-start in Recommendations

  • Task-optimized User Clustering based on Mobile App Usage for Cold-start Recommendations KDD 2022 [用户聚类]
  • A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations AAAI 2022 [元学习动态推荐框架]
  • SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation AAAI 2022 [状态感知多方面兴趣网络]
  • Multi-view Denoising Graph Auto-Encoders on Heterogeneous Information Networks for Cold-start Recommendation KDD 2021 [异构信息网络多视图去噪图自动编码器实现冷启动]
  • A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps KDD 2021 [半个性化的音乐流媒体应用冷启动推荐系统]

Diversity in Recommendations

  • Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation KDD 2022 [特征表示解耦去噪]

Evaluation

Technique

Pre-training in Recommender System

  • TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation KDD 2022 [推特知识图谱增强]

Reinforcement Learning in Recommendations

  • Surrogate for Long-Term User Experience in Recommender Systems KDD 2022 [用户长期行为建模]
  • AutoShard: Automated Embedding Table Sharding for Recommender Systems KDD 2022 [Embedding划分代价预估]
  • Multi-Task Fusion via Reinforcement Learning for Long-Term User Satisfaction in Recommender Systems KDD 2022 [Batch RL建模MTF] Modeling Attrition in Recommender Systems with Departing Bandits AAAI 2022 [新颖的多臂老虎机]
  • Context Uncertainty in Contextual Bandits with Applications to Recommender Systems AAAI 2022 [新型循环神经网络]
  • Learning the Optimal Recommendation from Explorative Users AAAI 2022 [更现实的用户行为模型]
  • Offline Interactive Recommendation with Natural-Language Feedback AAAI 2022 [对抗训练离线策略]

Knowledge Distillation in Recommendations

  • Cross-Task Knowledge Distillation in Multi-Task Recommendation AAAI 2022 [跨任务知识蒸馏]
  • Topology Distillation for Recommender System KDD 2021 [基于拓扑蒸馏的推荐系统]

NAS in Recommendations

  • AutoFAS: Automatic Feature and Architecture Selection for Pre-Ranking System KDD 2022 [粗排NAS搜索]

Federated Learning in Recommendations

  • FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling KDD 2022 [hard sampling对抗攻击]

GNN in Recommendations

  • Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation KDD 2022 [多面量化增强]
  • User-Event Graph Embedding Learning for Context-Aware Recommendation KDD 2022 [CTR任务引入用户-事件图进行表示学习]
  • Self-Supervised Hypergraph Transformer for Recommender Systems KDD 2022 [自监督超图增强用户表示]
  • Friend Recommendations with Self-Rescaling Graph Neural Networks KDD 2022 [自放缩解决尺度失真]
  • Low-Pass Graph Convolutional Network for Recommendation AAAI 2022 [提出了低通协同滤波器]
  • Multi-View Intent Disentangle Graph Networks for Bundle Recommendation AAAI 2022 [多意图捆绑推荐]
  • MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems KDD 2021 [高效图神经网络训练]
  • Multi-view Denoising Graph Auto-Encoders on Heterogeneous Information Networks for Cold-start Recommendation KDD 2021 [面向冷启动推荐的异构信息网络多视图去噪图自动编码器]
  • Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning KDD 2021 [新闻推荐推理的增强锚点知识图生成]

Analysis

  • Addressing Unmeasured Confounder for Recommendation with Sensitivity Analysis KDD 2022 [混淆因子的鲁棒性]

Other

  • Practical Counterfactual Policy Learning for Top-K Recommendations KDD 2022 [反事实框架]
  • CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation KDD 2022 [多场景推荐统一框架]
  • Generalized Deep Mixed Models KDD 2022 [集成DNN和LR增强]
  • Combo-Fashion: Fashion Clothes Matching CTR Prediction with Item History KDD 2022 [流行服饰匹配增强CTR]
  • Leaping through Time with Gradient-Based Adaptation for Recommendation AAAI 2022 [基于轨迹的元学习]
  • Obtaining Calibrated Probabilities with Personalized Ranking Models AAAI 2022 [提出排序模型的两种校准方法]
  • Socially-Aware Self-Supervised Tri-Training for Recommendation KDD 2021 [社会意识自监督的立体推荐系统]
  • Learning Elastic Embeddings for Customizing On-Device Recommenders KDD 2021 [定制设备上的弹性embedding]
  • Learning to Embed Categorical Features without Embedding Tables for Recommendation KDD 2021 [无embedding表的推荐系统特征建模]
  • Preference Amplification in Recommender Systems KDD 2021 [推荐系统中的偏好放大]
  • Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender System KDD 2021 [推荐系统中网络嵌入方法的综合分析]