推荐系统必读论文：有关推荐系统（RS）的精选论文和教程列表

02-05 11:53

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推荐系统必读论文
该存储库提供了有关推荐系统（RS）的精选论文和教程列表，包括系统教程、综合调查、通用推荐系统、社交推荐系统、基于深度学习的推荐系统、推荐系统中的冷启动问题、高效推荐系统、推荐系统中的探索和开发问题、推荐系统的可解释性以及推荐系统的点击率预测，推荐系统、基于评论的推荐系统、对话式推荐系统、工业/实用推荐系统和隐私保护推荐系统的知识图谱。

00-Latest_Papers11个子项

0306-ML_RSer-Papers17个子项

10-Recommendation on a Budget-Column Space Recovery from Partially Observed Entries with Random or Active Sampling-2020.pdf

11-AutoEmb-Automated Embedding Dimensionality Search in Streaming Recommendations-2020.pdf

12-A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback-2020.pdf

13-Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network-2020.pdf

14-Relation Embedding for Personalised Translation-based POI Recommendation-2020.pdf

15-Secure Social Recommendation based on Secret Sharing-2020.pdf

16-A Collaborative Dual Attentive Autoencoder Method for Recommending Scientific Articles-2020.pdf

2-Learning to Hash with Graph Neural Networks for Recommender Systems-2020.pdf

3-LightGCN-Simplifying and Powering Graph Convolution Network for Recommendation-2020.pdf

4-Generalized Embedding Machines for Recommender Systems-2020.pdf

5-Jointly Learning to Recommend and Advertise-2020.pdf

6-Hybrid Associations Model with Pooling for Sequential Recommendation-2020.pdf

7-Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feekback-2020.pdf

8-Using Image Captions and Multitask Learning for Recommending Query Reformulations-2020.pdf

9-Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests-2020.pdf

0420-WWW2020-ML_RSer34个子项

2020-A Category-Aware Deep Model for Successive POI Recommendation on Sparse Check-in Data-WWW.pdf

2020-A Contextualized Temporal Attention Mechanism for-WWW.pdf

2020-A Generalized and Fast-converging Non-negative Latent Factor Model for Predicting User Preferences in Recommender Systems-WWW.pdf

2020-Adaptive Hierarchical Translation-based Sequential Recommendation-WWW.pdf

2020-Adversarial Multimodal Representation Learning for Click-Through Rate Prediction-WWW.pdf

2020-Attentive Sequential Model of Latent Intent for Next Item Recommendation-WWW.pdf

2020-Clustering and Constructing User Coresets to Accelerate Large-scale Top-K Recommender Systems-WWW.pdf

2020-Deep Global and Local Generative Model for Recommendation-WWW.pdf

2020-Directional and Explainable Serendipity Recommendation-WWW.pdf

2020-Efficient Neural Interaction Function Search for Collaborative Filtering-WWW .pdf

2020-Efficient Non Sampling Factorization Machines for Optimal Context Aware Recommendation-WWW.pdf

2020-FairRec-Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms-WWW.pdf

2020-Few-Shot Learning for New User Recommendation in Location-based Social Networks-WWW.pdf

2020-Future Data Helps Training-Modeling Future Contexts for Session-based Recommendation-WWW.pdf

2020-Graph Enhanced Representation Learning for News Recommendation-WWW.pdf

2020-Hierarchical Adaptive Contextual Bandits for Resource-WWW.pdf

2020-Influence Function based Data Poisoning Attacks to Top-N Recommender Systems-WWW.pdf

2020-Intention Modeling from Ordered and Unordered Facets for Sequential Recommendation-WWW.pdf

2020-Keywords Generation Improves E-Commerce Session-based Recommendation-WWW.pdf

2020-Learning the Structure of Auto-Encoding Recommenders-WWW.pdf

2020-Learning to Hash with Graph Neural Networks for Recommender Systems-WWW.pdf

2020-LightRec_ a Memory and Search-Efficient Recommender System-WWW.pdf

2020-Next Point-of-Interest Recommendation on__Resource-Constrained Mobile Devices-WWW.pdf

2020-Off-policy Learning in Two-stage Recommender Syste-WWW.pdf

2020-Personalized Employee Training Course Recommendation with Career Development Awareness-WWW.pdf

2020-Recommending Themes for Ad Creative Design via Visual-Linguistic Representations-WWW.pdf

2020-The Structure of Social Influence in Recommender Networks-WWW.pdf

2020-Understanding User Behavior For Document Recommendation-WWW.pdf

2020-Weakly Supervised Attention for Hashtag Recommendation using Graph Data-WWW.pdf

2020-paper2repo-GitHub Repository Recommendation for Academic Papers-WWW.pdf

0723-KDD2022-ML_RSer11个子项

[21.12] Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction.pdf

[22.06] Comprehensive Fair Meta-learned Recommender System.pdf

[22.06] CrossCBR Cross-view Contrastive Learning for Bundle Recommendation.pdf

[22.06] Debiasing Learning for Membership Inference Attacks Against Recommender Systems.pdf

[22.06] Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems.pdf

[22.06] Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation.pdf

[22.06] Towards Representation Alignment and Uniformity in Collaborative Filtering.pdf

[22.06] Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning.pdf

[22.06] Towards Universal Sequence Representation Learning for Recommender Systems.pdf

[22.07] HICF Hyperbolic Informative Collaborative Filtering.pdf

[22.07] Knowledge-enhanced Black-box Attacks for Recommendations.pdf

AAAI202113个子项

2020-Who You Would Like to Share With A Study of Share Recommendation in Social E-commerce-AAAI.pdf

2021-A Hybrid Bandit Framework for Diversified Recommendation-AAAI.pdf

2021-Cold-start Sequential Recommendation via Meta Learner-AAAI.pdf

2021-Detecting Beneficial Feature Interactions for Recommender Systems-AAAI.pdf

2021-Fairness-Aware News Recommendation with Decomposed Adversarial Learning-AAAI.pdf

2021-Intelligent Recommendations for Citizen Science-AAAI.pdf

2021-Learning to Recommend from Sparse Data via Generative User Feedback-AAAI.pdf

2021-Out-of-Town Recommendation with Travel Intention Modeling_PPT-AAAI.pdf

2021-Personalized Adaptive Meta Learning for Cold-Start User Preference Prediction-AAAI.pdf

2021-Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation-AAAI.pdf

2021-Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation-AAAI.pdf

AAAI202310个子项

[22.07] Multiple Robust Learning for Recommendation.pdf

[22.08] ConTextual Masked Auto-Encoder for Dense Passage Retrieval.pdf

[22.09] Factual and Informative Review Generation for Explainable Recommendation.pdf

[22.11] AdaTask A Task-aware Adaptive Learning Rate Approach to Multi-task Learning.pdf

[22.11] SAH Shifting-aware Asymmetric Hashing for Reverse $k$-Maximum Inner Product Search.pdf

[22.11] Towards Reliable Item Sampling for Recommendation Evaluation.pdf

[22.12] Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction.pdf

[22.12] Uniform Sequence Better Time Interval Aware Data Augmentation for Sequential Recommendation (1).pdf

[22.12] Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense (1).pdf

KDD202324个子项

[3580305.3599516] Task Relation-aware Continual User Representation Learning.pdf

[3580305.3599758] A Collaborative Transfer Learning Framework for Cross-domain Recommendation.pdf

[3580305.3599769] AdaTT- Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations.pdf

[3580305.3599780] BERT4CTR- An Efficient Framework to Combine Pre-trained Language Model with Non-Textual Features for CTR Prediction.pdf

[3580305.3599783] BOSS- A Bilateral Occupational-Suitability-Aware Recommender System for Online Recruitment.pdf

[3580305.3599785] ReLoop2- Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop.pdf

[3580305.3599796] Controllable Multi-Objective Re-ranking with Policy Hypernetworks.pdf

[3580305.3599798] CT4Rec- Simple yet Effective Consistency Training for Sequential Recommendation.pdf

[3580305.3599814] Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN).pdf

[3580305.3599821] Exploiting Intent Evolution in E-commercial Query Recommendation.pdf

[3580305.3599834] Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems.pdf

[3580305.3599838] Hierarchical Projection Enhanced Multi-behavior Recommendation.pdf

[3580305.3599846] Improving Training Stability for Multitask Ranking Models in Recommender Systems.pdf

[3580305.3599863] M5- Multi-Modal Multi-Interest Multi-Scenario Matching for Over-the-Top Recommendation.pdf

[3580305.3599868] Multi-channel Integrated Recommendation with Exposure Constraints.pdf

[3580305.3599871] Multi Datasource LTV User Representation.pdf

[3580305.3599878] On-device Integrated Re-ranking with Heterogeneous Behavior Modeling.pdf

[3580305.3599886] PIER- Permutation-Level Interest-Based End-to-End Re-ranking Framework in E-commerce.pdf

[3580305.3599918] TransAct- Transformer-based Realtime User Action Model for Recommendation at Pinterest.pdf

[3580305.3599919] Tree based Progressive Regression Model for Watch-Time Prediction in Short-video Recommendation.pdf

[3580305.3599921] [2209.07562] TwHIN-BERT- A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter.pdf

[3580305.3599928] Variance Reduction Using In-Experiment Data- Efficient and Targeted Online Measurement for Sparse and Delayed Outcomes.pdf

[3580305.3599936] Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction.pdf

[3580305.3599955] SAMD- An Industrial Framework for Heterogeneous Multi-Scenario Recommendation.pdf

RS_Weekly2个子项

0410-041622个子项

[23.04] A Recommender System Approach for Very Large-scale Multiobjective Optimization.pdf

[23.04] AdaTT Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations.pdf

[23.04] Automated Prompting for Non-overlapping Cross-domain Sequential Recommendation.pdf

[23.04] COOOL A Learning-To-Rank Approach for SQL Hint Recommendations.pdf

[23.04] Continuous Input Embedding Size Search For Recommender Systems.pdf

[23.04] Contrastive Cross-Domain Sequential Recommendation.pdf

[23.04] Deep Stable Multi-Interest Learning for Out-of-distribution Sequential Recommendation.pdf

[23.04] Diffusion Recommender Model.pdf

[23.04] Editable User Profiles for Controllable Text Recommendation.pdf

[23.04] FAN Fatigue-Aware Network for Click-Through Rate Prediction in E-commerce Recommendation.pdf

[23.04] GNNUERS Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning.pdf

[23.04] GPT4Rec A Generative Framework for Personalized Recommendation and User Interests Interpretation.pdf

[23.04] Generative Recommendation Towards Next-generation Recommender Paradigm.pdf

[23.04] Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation.pdf

[23.04] Neural Multi-network Diffusion towards Social Recommendation.pdf

[23.04] Prompt Learning for News Recommendation.pdf

[23.04] Sequential Recommendation with Diffusion Models.pdf

[23.04] Timestamps as Prompts for Geography-Aware Location Recommendation.pdf

[23.04] Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training.pdf

[23.04] Triple Sequence Learning for Cross-domain Recommendation.pdf

[23.04] Unbiased Pairwise Learning from Implicit Feedback for Recommender Systems without Biased Variance Control.pdf

0417-042331个子项

27e50165-982f-4d4f-b6ed-d8f22f76a8bd.pdf

[23.04] A Diffusion model for POI recommendation.pdf

[23.04] A Field Test of Bandit Algorithms for Recommendations Understanding the Validity of Assumptions on Human Preferences in Multi-armed Bandits.pdf

[23.04] Always Strengthen Your Strengths A Drift-Aware Incremental Learning Framework for CTR Prediction.pdf

[23.04] Attention Mixtures for Time-Aware Sequential Recommendation.pdf

[23.04] Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations.pdf

[23.04] CAViaR Context Aware Video Recommendations.pdf

[23.04] Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning.pdf

[23.04] Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation.pdf

[23.04] Discreetly Exploiting Inter-session Information for Session-based Recommendation.pdf

[23.04] Dual-Ganularity Contrastive Learning for Session-based Recommendation.pdf

[23.04] FairRec Fairness Testing for Deep Recommender Systems.pdf

[23.04] Frequency Enhanced Hybrid Attention Network for Sequential Recommendation.pdf

[23.04] HEAT A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs.pdf

[23.04] Hierarchical and Contrastive Representation Learning for Knowledge-aware Recommendation.pdf

[23.04] Improving Items and Contexts Understanding with Descriptive Graph for Conversational Recommendation.pdf

[23.04] Intent-aware Ranking Ensemble for Personalized Recommendation.pdf

[23.04] Learning Graph ODE for Continuous-Time Sequential Recommendation.pdf

[23.04] M2GNN Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation.pdf

[23.04] MELT Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation.pdf

[23.04] Meta-optimized Contrastive Learning for Sequential Recommendation.pdf

[23.04] More Is Less When Do Recommenders Underperform for Data-rich Users.pdf

[23.04] PBNR Prompt-based News Recommender System.pdf

[23.04] PEGA Personality-Guided Preference Aggregator for Ephemeral Group Recommendation.pdf

[23.04] PIE Personalized Interest Exploration for Large-Scale Recommender Systems.pdf

[23.04] PerCoNet News Recommendation with Explicit Persona and Contrastive Learning.pdf

[23.04] Privacy-Preserving Matrix Factorization for Recommendation Systems using Gaussian Mechanism.pdf

[23.04] Selective and Collaborative Influence Function for Efficient Recommendation Unlearning.pdf

[23.04] Sheaf Neural Networks for Graph-based Recommender Systems.pdf

SSL_for_RS11个子项

2020-Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization-CIKM.pdf

2020-Self-Supervised Reinforcement Learning for Recommender Systems-SIGIR.pdf

2020-Self-supervised learning on graphs-Deep insights and new direction.pdf

2021-Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation-AAAI.pdf

2021-Self-supervised Graph Learning for Recommendation-SIGIR.pdf

2021-Self-supervised Learning for Large-scale Item Recommendations.pdf

2021-Self-supervised Learning-Generative or Contrastive.pdf

2021-Socially-Aware Self-Supervised Tri-Training for Recommendation-KDD.pdf

2021-UPRec-User-Aware Pre-training for Recommender Systems-TKDE.pdf

WSDM202116个子项

2021-Adversarial Immunization for Improving Certifiable Robustness on Graphs-WSDM.pdf

2021-Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph-WSDM.pdf

2021-Beyond Point Estimate-Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems-WSDM.pdf

2021-Bipartite Graph Embedding via Mutual Information Maximization-WSDM.pdf

2021-Causal Transfer Random Forest-Combining Logged Data and Randomized Experiments for Robust Prediction-WSDM.pdf

2021-DeepLight-Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving-WSDM.pdf

2021-Denoising Implicit Feedback for Recommendation-WSDM.pdf

2021-Learning User Representations with Hypercuboids for Recommender Systems-WSDM.pdf

2021-Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction-WSDM.pdf

2021-Origin-Aware Next Destination Recommendation with Personalized Preference Attention-WSDM.pdf

2021-Practical Compositional Fairness-Understanding Fairness in Multi-Component Recommender Systems-WSDM.pdf

2021-Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation-WSDM.pdf

2021-Temporal Meta-path Guided Explainable Recommendation-WSDM.pdf

2021-Towards Long-term Fairness in Recommendation-WSDM.pdf

2021-Unbiased Learning to Rank in Feeds Recommendation-WSDM.pdf

WWW202113个子项

2021-Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation-WWW.pdf

2021-A Model of Two Tales-Dual Transfer Learning Framework for Improved Long-tail Item Recommendation-WWW.pdf

2021-Disentangling User Interest and Conformity for Recommendation with Causal Embedding-WWW.pdf

2021-FM2-Field-matrixed Factorization Machines for Recommender Systems-WWW.pdf

2021-Interest-aware Message-Passing GCN for Recommendation-WWW.pdf

2021-Learning Fair Representations for Bipartite Graph based Recommendation-WWW.pdf

2021-Learning Intents behind Interactions with Knowledge Graph for Recommendation-WWW.pdf

2021-Leveraging Review Properties for Effective Recommendation-WWW.pdf

2021-PFA-Privacy-preserving Federated Adaptation for Effective Model Personalization-WWW.pdf

2021-Random Walks with Erasure-Diversifying Personalized Recommendations on Social and Information Networks-WWW.pdf

2021-RetaGNN-Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation-WWW.pdf

2021-STAN-Spatio-Temporal Attention Network for Next Location Recommendation-WWW.pdf

2021-Task-adaptive Neural Process for User Cold-Start Recommendation-WWW.pdf

WWW202323个子项

[22.11] Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation.pdf

[23.01] A Counterfactual Collaborative Session-based Recommender System.pdf

[23.01] Cross-domain recommendation via user interest alignment.pdf

[23.01] Interaction-level Membership Inference Attack Against Federated Recommender Systems.pdf

[23.01] Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation.pdf

[23.01] Optimizing Feature Set for Click-Through Rate Prediction.pdf

[23.02] A Deep Behavior Path Matching Network for Click-Through Rate Prediction.pdf

[23.02] Adap-tau Adaptively Modulating Embedding Magnitude for Recommendation.pdf

[23.02] ConsRec Learning Consensus Behind Interactions for Group Recommendation.pdf

[23.02] Contrastive Collaborative Filtering for Cold-Start Item Recommendation.pdf

[23.02] Denoising and Prompt-Tuning for Multi-Behavior Recommendation.pdf

[23.02] Disentangled Causal Embedding With Contrastive Learning For Recommender System.pdf

[23.02] Divide and Conquer Towards Better Embedding-based Retrieval for Recommender Systems From a Multi-task Perspective.pdf

[23.02] Enhancing User Personalization in Conversational Recommenders.pdf

[23.02] Exploration and Regularization of the Latent Action Space in Recommendation.pdf

[23.02] Fairly Adaptive Negative Sampling for Recommendations.pdf

[23.02] Improving Recommendation Fairness via Data Augmentation.pdf

[23.02] Learning with Exposure Constraints in Recommendation Systems.pdf

[23.02] Multi-Task Recommendations with Reinforcement Learning.pdf

[23.02] On the Theories Behind Hard Negative Sampling for Recommendation.pdf

[23.02] Personalized Graph Signal Processing for Collaborative Filtering.pdf

[23.02] Reinforcing User Retention in a Billion Scale Short Video Recommender System.pdf

[23.02] Two-Stage Constrained Actor-Critic for Short Video Recommendation.pdf

00-Tutorials45个子项

关于ML_RSer.pdf

2011-ICML-Recommender Problems for Web Applications.pdf

2012-Recsys-Explaining the User Experience of Recommender Systems.pdf

2013-IJCAI-Tutorial of Recommender System.pdf

2013-RecSys-Recommendation in Social Networks.pdf

2013-Recsys-Recommending People to People in Social Networks.pdf

2014-Recsys-Cross-Domain Recommender Systems.pdf

2015-Recsys-Interactive Recommender Systems.pdf

2015-Recsys-Real-Time Recommendation of Streamed Data.pdf

2016-Group Recommender Systems.pdf

2017-Recsys-Deep Learning for Recommender Systems.pdf

2017-Recsys-Privacy for Recommender Systems.pdf

2017-Recsys-Product Recommendation Enhanced with Reviews.pdf

2018-ICMR-Recommendation Technologies for Multimedia Content.pdf

2018-Recsys-Learning Distributed Representation of Heterogeneous sources for Recommendation.pdf

2018-Recsys-Sequence-aware Recommender Systems.pdf

2018-SIGIR-Deep learning for matching in search and recommendation.pdf

2018-SIGIR-Information Discovery in E-commerce.pdf

2020-WSDM-Learning and Reasoning on Graph for Recommendation.pdf

2019-KDD-Perspectives on NE and GCN.pdf

2019-KDD-Tutorial on Network Embedding.pdf

2019-NLPCC-Foundations and Trends for Personalized Recommendation.pdf

2019-RecSys-Deep Learning for Multitask Recommendation.pdf

2019-Recsys-Fairness and Discrimination in Recommendation and Retrieval.pdf

2019-Recsys-Recommending fro Impact of Intentions,Algorithms and Metrics.pdf

2020-SIGIR-CRS-slides.pdf

2020-WSDM-Adversarial Machine Learning in Recommender Systems.pdf

2020-WWW-Deep Transfer Learning for Search and Recommendation.pdf

2021-IJCAI-RecSys-Tutorials.zip

2021-IJCAI-RecSys_Adversarial_Attacks.pdf

2021-IJCAI-RecSys_AutoML.pdf

2021-IJCAI-RecSys_DNN.pdf

2021-IJCAI-RecSys_GNNs.pdf

2021-IJCAI-RecSys_Intro.pdf

2021-IJCAI-RecSys_RL.pdf

2021-IJCAI-RecSys_future_directions.pdf

2021-Recsys2021Tutorials.zip

2021-WWW_RS_GNN_DRL_AML_Tutorials.zip

2021-tutorial_CRS_recsys.pdf

2022-AutoML_RecSys_WWW.pdf

2022-Graph Representation Learning for Web-Scale Recommender Systems-KDD.pdf

2022-Tutorial on SBRS and SRS. SIGIR22_all_v5.pdf

2022-tutorial_SSL_RS-www.pdf

01-Surveys58个子项

2020-A Survey on Knowledge Graph-Based Recommender Systems.pdf

2002-Hybrid Recommender Systems Surveyand Experiments.pdf

2005-Towards the Next Generation of Recommender Systems.pdf

2009-A Survey of Accuracy Evaluation Metrics of Recommendation Tasks-JMRL.pdf

2009-A Survey of Collaborative Filtering Techniques.pdf

2011-Comparison of collaborative filtering algorithms.pdf

2011-Tag aware recommender systems a state-of-the-art survey.pdf

2012-Shilling attacks against recommender systems-a comprehensive survey.pdf

2013-Social Recommendation A Review.pdf

2014-A Survey of Collaborative Filtering based Social Recommender Systems.pdf

2014-Collaborative Filtering beyond the User-Item Matrix.pdf

2015-A Survey of Point-of-Interest Recommendation in Location-Based Social Networks.pdf

2015-Recommender Systems based on User Reviews.pdf

2015-Social Networking Meets Recommender Systems Survey.pdf

2016-Parallel and Distributed Collaborative Filtering-A Survey- ACM Comput. Surv.pdf

2017-Recommender Systems with Random Walks-A survey.pdf

2017-Use of Deep Learning in Modern Recommendation System A Summary of Recent Works.pdf

2018-A review on deep learning for recommender systems-challenges and remedies.pdf

2018-Deep Learning based Recommender System A Survey and New Perspectives.pdf

2018-Explainable Recommendation A Survey and New Perspectives.pdf

2019-A Survey on Session-based Recommender Systems.pdf

2019-A survey on group recommender systems..pdf

2019-Recommendations on the Internet of Things-Requirements, Challenges, and Directions.pdf

2019-Research Commentary on Recommendations with Side Information-A Survey and Research Directions.pdf

2019-Sequential Recommender Systems Challenges, Progress and Prospects-IJCAI.pdf

2020-A Survey on Conversational Recommender Systems.pdf

2020-Adversarial Machine Learning in Recommender Systems-State of the art and Challenges.pdf

2020-Bias and Debias in Recommender System-A Survey and Future Directions.pdf

2020-Deep Learning on Knowledge Graph for Recommender System-A Survey.pdf

2020-Graph Learning Approaches to Recommender Systems-A Review.pdf

2020-Graph Neural Networks in Recommender Systems-A Survey.pdf

2020-Recommender Systems for the Internet of Things-A Survey.pdf

2020-Survey of Privacy-Preserving Collaborative Filtering.pdf

2021-A Survey of Deep Reinforcement Learning in Recommender Systems-A Systematic Review and Future Directions.pdf

2021-A Survey of Recommender Systems with Multi-Objective Optimization.pdf

2021-A Survey on Neural Recommendation-From Collaborative Filtering to Content and Context Enriched Recommendation-TKDE.pdf

2021-A Survey on Reinforcement Learning for Recommender Systems.pdf

2021-A Survey on Stream-Based Recommender Systems.pdf

2021-Blockchain-based recommender systems-Applications, challenges and future opportunities.pdf

2021-Cross-Domain Recommendation-Challenges, Progress, and Prospects.pdf

2021-Deep Learning for Click-Through Rate Estimation-IJCAI.pdf

2022-A Survey of Diversification Techniques in Search and Recommendation.pdf

2022-A Survey on Federated Recommendation Systems.pdf

2022-A Survey on Privacy-preserving Federated Recommender Systems-AAS.pdf

2022-A Survey on Reinforcement Learning for Recommender Systems.pdf

2022-A Survey on Trustworthy Recommender Systems.pdf

2022-A Survey on the Fairness of Recommender Systems-TOIS.pdf

2022-AutoML for Deep Recommender Systems-A Survey.pdf

2022-Causal Inference in Recommender Systems-A Survey and Future Directions.pdf

2022-Causal Inference in Recommender Systems-A Survey of Strategies for Bias Mitigation, Explanation, and Generalization.pdf

2022-Deep Meta-learning in Recommendation Systems-A Survey.pdf

2022-Fairness in Recommendation-A Survey.pdf

2022-Measuring Why in Recommender Systems-a Comprehensive Survey on the Evaluation of Explainable Recommendation.pdf

2022-Neural Re-ranking in Multi-stage Recommender Systems-A Review-IJCAI.pdf

2022-Self-Supervised Learning for Recommender Systems-A Survey.pdf

2022-Trustworthy Recommender Systems.pdf

02-General_RS52个子项

1992-Using Collaborative Filtering to Weave An Information Tapestry.pdf

1994-GroupLens An Open Architecture for Collaborative Filtering of Netnews.pdf

2001-Item based Collaborative Filtering Recommendation Algorithms.pdf

2003-Amazon. com recommendations Item-to-item collaborative filtering.pdf

2005-Slope One Predictors for Online Rating-Based Collaborative Filtering.pdf

2007-Bipartite Network Projection and Personal Recommendation.pdf

2008-Collaborative Filtering for Implicit Feedback Datasets.pdf

2008-Factorization Meets the Neighborhood a Multifaceted Collaborative Filtering Model.pdf

2008-Improving Maximum Margin Matrix Factorization.pdf

2008-One Class Collaborative Filtering.pdf

2008-Probabilistic Matrix Factorization.pdf

2009-BPR Bayesian Personalized Ranking from Implicit Feedback.pdf

2009-Matrix Factorization Techniques for Recommender Systems.pdf

2009-Regression-based latent factor models.pdf

2009-The BellKor Solution to the Netflix Grand Prize.pdf

2010-Collaborative Filtering via Euclidean Embeddings.pdf

2010-Collaborative filtering with temporal dynamics.pdf

2010-Factor in the neighbors Scalable and accurate collaborative filtering.pdf

2011-Feature-based matrix factorization.pdf

2012-Contextual Collaborative Filtering via Hierarchical Matrix Factorization.pdf

2012-Learning recommender systems with adaptive regularization.pdf

2013-FISM-Factored Item Similarity Models for Top-N Recommender Systems.pdf

2013-Local Low Rank Matrix Approximation.pdf

2014-Logistic Matrix Factorization for Implicit Feedback Data-NIPS-WS.pdf

2014-Probabilistic matrix factorization with non-random missing data.pdf

2014-TopicMF-Simultaneously Exploiting Ratings and Reviews for Recommendation-AAAI-Yang.pdf

2014-Your neighbors affect your ratings on geographical neighborhood influence to rating prediction.pdf

2015-E commerce in Your Inbox-Product Recommendations at Scale.pdf

2015-Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks.pdf

2016-Fast Matrix Factorization for Online Recommendation with Implicit Feedback.pdf

2016-Item2vec Neural Item Embedding for Collaborative Filtering.pdf

2016-Modeling User Exposure in Recommendation.pdf

2017-A generic coordinate descent framework for learning from implicit feadback-WWW.pdf

2017-Collaborative metric learning.pdf

2017-Translation-based Recommendation-Recsys.pdf

2018-Adversarial Personalized Ranking for Recommendation-SIGIR.pdf

2018-BiNE Bipartite Network Embedding.pdf

2018-Metric Factorization-Recommendation beyond Matrix Factorization.pdf

2018-Spectral Collaborative Filtering-RecSys.pdf

2018-Translation-based factorization machines for sequential recommendation-Recsys.pdf

2019-Adversarial Collaborative Neural Network for Robust Recommendation-SIGIR.pdf

2019-Collaborative Similarity Embedding for Recommender Systems.pdf

2019-Deep Generative Ranking for Personalized Recommendation-Recsys.pdf

2019-Heterogeneous Information Network Embedding for Recommendation-TKDE.pdf

2019-Multi-Graph Convolution Collaborative Filtering-ICDM.pdf

2019-Neural Graph Collaborative Filtering-SIGIR.pdf

2020-Denoising Implicit Feedback for Recommendation.pdf

2020-Neural Collaborative Filtering vs. Matrix Factorization Revisited.pdf

2021-Elliot-A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation-SIGIR21.pdf

2021-SimpleX-A Simple and Strong Baseline for Collaborative Filtering-CIKM.pdf

03-Social_RS48个子项

2008-SoRec Social Recommendation using Probabilistic Matrix Factorization.pdf

2009-Learning to Recommend with Social Trust Ensemble.pdf

2009-Learning to Recommend with Trust and Distrust Relationships.pdf

2009-TrustWalker A Random Walk Model for Combining Trust-based and Item-based Recommendation.pdf

2010- SocialMF A Matrix Factorization Technique with Trust Propagation for Recommendation in Social Networks.pdf

2011-Learning to recommend with explicit and implicit social relations.pdf

2011-Recommender Systems with Social Regularization.pdf

2013-An experimental study on implicit social recommendation.pdf

2013-Exploiting Local and Global Social Context for Recommendation-AAAI.pdf

2013-TrustMF Social Collaborative Filtering by Trust.pdf

2014-Context aware collaborative topic regression with social matrix factorization for recommender systems.pdf

2014-Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering.pdf

2015-TrustSVD Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings.pdf

2016-Recommendation with Social Dimensions-AAAI.pdf

2017-Additive co-clustering with social influence for recommendation-RecSys.pdf

2017-Collaborative Filtering with Social Local Models.pdf

2017-Collaborative User Network Embedding for Social Recommender Systems.pdf

2017-Learning to Rank with Trust and Distrust in Recommender Systems.pdf

2017-Social Recommendation using Euclidean Embedding.pdf

2017-Social Recommendation with Strong and Weak Ties.pdf

2017-TrustMF Social Collaborative Filtering by Trust.pdf.pdf

2018-Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation.pdf

2018-Collaborative Filtering with Social Exposure-A Modular Approach to Social Recommendation.pdf

2018-Deep Modeling of Social Relations-AAAI.pdf

2018-Network Embedding Based Recommendation Method in Social Networks.pdf

2018-Personalized Privacy-Preserving Social Recommendation-AAAI.pdf

2018-Recommender Systems with Characterized Social Regularization.pdf

2018-Social Collaborative Filtering Ensemble.pdf

2018-Social Recommendation with an Essential Preference Space.pdf

2019-An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation-SIGIR.pdf

2019-Deep Adversarial Social Recommendation-IJCAI.pdf

2019-Graph Neural Networks for Social Recommendation-WWW.pdf

2019-Integrating Dual User Network Embedding With Matrix Factorization For Social Recommender Systems-IJCNN.pdf

2019-Session-based Social Recommendation via Dynamic Graph Attention Networks-WSDM.pdf

2019-Social Attentional Memory Network Modeling Aspect- and Friend-level Differences in Recommendation.pdf

2020-DREAM A Dynamic Relational-Aware Model for Social Recommendation.pdf

2020-Enhance Social Recommendation with Adversarial Graph Convolutional Networks-TKDE.pdf

2020-Modelling High-Order Social Relations for Item Recommendation.pdf

2020-Partial RelationshipAware Influence Diffusion via a Multi-channel Encoding Scheme for Social Recommendation.pdf

2020-Secure Social Recommendation based on Secret Sharing.pdf

2020-Social Influence Attentive Neural Network for Friend-Enhanced Recommendation.pdf

2021-ConsisRec Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation.pdf

2021-Dual Side Deep Context-aware Modulation for Social Recommendation.pdf

2022-Semantic and Structural View Fusion Modeling for Social Recommendation-TKDE.pdf

2022-Socially-aware Dual Contrastive Learning for Cold-Start Recommendation-SIGIR.pdf

04-Deep_Learning_based_RS53个子项

2007-Restricted Boltzmann machines for collaborative filtering.pdf

2013-Deep content-based music recommendation-NIPS.pdf

2015-AutoRec Autoencoders Meet Collaborative Filtering.pdf

2015-Collaborative deep learning for recommender systems-KDD.pdf

2016-A Neural Autoregressive Approach to Collaborative Filtering.pdf

2016-Collaborative Denoising Auto-Encoders for Top-N Recommender Systems-WSDM.pdf

2016-Convolutional Matrix Factorization for Document Context-Aware Recommendation.pdf

2016-Deep Neural Networks for YouTube Recommendations.pdf

2016-Improved Recurrent Neural Networks for Session-based Recommendations.pdf

2016-VBPR-Visual Bayesian Personalized Ranking from Implicit Feedback-AAAI.pdf

2016-Wide & Deep Learning for Recommender Systems.pdf

2017-CCCFNet-A Content-Boosted Collaborative Filtering Neural Network for Cross Domain Recommender Systems.pdf

2017-Collaborative Autoencoder for Recommender Systems.pdf

2017-DVBPR-Visually-Aware Fashion Recommendation and Design with Generative Image Models-ICDM.pdf

2017-Deep Matrix Factorization Models for Recommender Systems.pdf

2017-Joint Deep Modeling of Users and Items Using Reviews for Recommendation.pdf

2017-Leveraging Long and Short-term Information in Content-aware Movie Recommendation.pdf

2017-Neural Collaborative Filtering.pdf

2017-Recurrent recommender networks-WSDM.pdf

2018-A Generic Collaborative Filtering Framework based on Generative Adversarial Networks-CIKM.pdf

2018-Buy It Again- Modeling Repeat Purchase Recommendations.pdf

2018-CFGAN-A Generic Collaborative Filtering Framework based on Generative Adversarial Networks-CIKM.pdf

2018-Collaborative Memory Network for Recommendation Systems.pdf

2018-Graph Convolutional Neural Networks for Web-Scale Recommender Systems.pdf

2018-Latent Cross-Making Use of Context in Recurrent Recommender Systems.pdf

2018-Learning and Transferring IDs Representation in E-commerce.pdf

2018-Learning from History and Present Next-item Recommendation via Discriminatively Exploiting User Behaviors.pdf

2018-Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model.pdf

2018-Local Latent Space Models for Top-N Recommendation.pdf

2018-Next Item Recommendation with Self-Attention.pdf

2018-Outer Product-based Neural Collaborative Filtering-IJCAI.pdf

2018-Personalized top-n sequential recommendation via convolutional sequence embedding.pdf

2018-Real-time Personalization using Embeddings for Search Ranking at Airbnb.pdf

2018-Regularizing Matrix Factorization with User and Item Embeddings for Recommendation.pdf

2018-Sequential Recommendation with User Memory Networks.pdf

2018-Variational Autoencoders for Collaborative Filtering.pdf

2019-A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research.pdf

2019-Are We Really Making Much Progress A Worrying Analysis of Recent Neural Recommendation Approaches-RecSys.pdf

2019-BERT4Rec-Sequential Recommendation with Bidirectional Encoder Representations from Transformer-CIKM.pdf

2019-CosRec-2D Convolutional Neural Networks for Sequential Recommendation-CIKM.pdf

2019-DeepCF-A Unified Framework of Representation Learning and Matching Function Learning in Recommender System-AAAI.pdf

2019-Session-based Recommendation with Graph Neural Networks.pdf

2020-Deep Global and Local Generative Model for Recommendation-WWW.pdf

2021-LT-OCF-Learnable-Time ODE-based Collaborative Filtering.pdf

2021-Self-supervised Graph Learning for Recommendation-SIGIR.pdf

05-Cold_Start_in_RS13个子项

06-POI_RS12个子项

07-Efficient_RS28个子项

08-EE_for_RS8个子项

09-Explainability_on_RS8个子项

2020-Dual Learning for Explainable Recommendation Towards Unifying User Preference Prediction and Review Generation-WWW.pdf

2017-UniWalk Explainable and Accurate Recommendation for Rating and Network Data.pdf

10-CTR_Prediction_for_RS23个子项

11-Knowledge_Graph_for_RS8个子项

2020-Reinforced Negative Sampling over Knowledge Graph for Recommendation-WWW.pdf

2019-Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation-WWW.pdf

12-Review_RS21个子项

13-Conversational_RS26个子项

2020-Latent Linear Critiquing for Conversational Recommender Systems-WWW.pdf

14-Industrial_RS15个子项

15-Privacy_RS50个子项

2021-A Black-Box Attack Model for Visually-Aware Recommenders-WSDM.pdf

16-LLM_for_RS1个子项

2019-Personalized Re-ranking for Recommendation.pdf

2019-Deep Social Collaborative Filtering.pdf

2013-Learning deep structured semantic models for web search using clickthrough data.pdf

2015-A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems.pdf

2016-Session-based recommendations with recurrent neural networks.pdf

2018-Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba.pdf

2018-Micro Behaviors A New Perspective in E-commerce Recommender Systems.pdf

2018-xDeepFM Combining Explicit and Implicit Feature Interactions for Recommender Systems.pdf

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