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。

2002-Methods and metrics for cold-start recommendations.pdf

2010-Learning Attribute-to-Feature Mappings for Cold-Start Recommendations.pdf

2014-Addressing cold start in recommender systems a semi-supervised co-training algorithm.pdf

2014-Social Collaborative Filtering for Cold-start Recommendations.pdf

2015-Metadata Embeddings for User and Item Cold-start Recommendations.pdf

2017-A Meta-Learning Perspective on Cold-Start Recommendations for Items-NIPS.pdf

2017-Cross Domain Recommendation An Embedding and Mapping Approach.pdf

2017-Expediting Exploration by Attribute-to-Feature Mapping for Cold-Start Recommendations.pdf

2017-Low-rank Linear Cold-Start Recommendation from Social Data.pdf

2018-Handling Cold-Start Collaborative Filtering with Reinforcement Learning.pdf

2020-LARA-Attribute-to-feature Adversarial Learning for New-item Recommendation-WSDM.pdf

2020-Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation-KDD.pdf

2011-Exploiting geographical influence for collaborative point-of-interest recommendation.pdf

2012-Fused matrix factorization with geographical and social influence in location-based social networks.pdf

2013-iGSLR personalized geo-social location recommen dation a kernel density estimation approach.pdf

2014-Lore exploiting sequential influence for location recommendations.pdf

2015-Geosoca Exploiting geographical social and categorical correlations for point-of-interest recommendations. .pdf

2016-Point-of-Interest Recommendations Learning Potential Check-ins from Friends.pdf

2017-A Personalised Ranking Framework with Multiple Sampling Criteria for Venue Recommendation.pdf

2017-Category-aware Next Point-of-Interest Recommendation via Listwise Bayesian Personalized Ranking.pdf

2017-Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation A Unified Approach.pdf

2017-POI2Vec-Geographical Latent Representation for Predicting Future Visitors-AAAI.pdf

2020-Contextualized Point-of-Interest Recommendation-IJCAI.pdf

2009-Feature Hashing for Large Scale Multitask Learning-ICML.pdf

2010-Collaborative filtering on a budget.pdf

2012-Learning binary codes for collaborative filtering.pdf

2014-Preference preserving hashing for efficient recommendation.pdf

2016-Discrete collaborative filtering.pdf

2017-Discrete Content-aware Matrix Factorization.pdf

2017-Discrete Personalized Ranking for Fast Collaborative Filtering from Implicit Feedback-AAAI.pdf

2017-Getting Deep Recommenders Fit-Bloom Embeddings for Sparse Binary Input and Output Networks-Recsys.pdf

2017-Hash Embeddings for Efficient Word Representations-NIPS.pdf

2018-Discrete Deep Learning for Fast Content-Aware Recommendation WSDM.pdf

2018-Discrete Factorization Machines for Fast Feature-based Recommendation-IJCAI.pdf

2019-Compositional Coding for Collaborative Filtering-SIGIR.pdf

2019-Discrete Matrix Factorization and Extension for Fast Item Recommendation TKDE.pdf

2019-Discrete Social Recommendation-AAAI.pdf

2019-Discrete Trust-aware Matrix Factorization for Fast Recommendation.pdf

2020-A Generic Network Compression Framework for Sequential Recommender Systems-SIGIR.pdf

2020-Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems-KDD.pdf

2020-Content-aware Neural Hashing for Cold-start Recommendation-SIGIR.pdf

2020-Deep Pairwise Hashing for Cold-start Recommendation-TKDE.pdf

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

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

2020-Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems-Recsys.pdf

2020-Multi-Feature Discrete Collaborative Filtering for Fast Cold-start Recommendation-AAAI.pdf

2021-Binary Code based Hash Embedding for Web-scale Applications-CIKM.pdf

2021-Discrete Listwise Collaborative Filtering for Fast Recommendation-SDM.pdf

2021-Learning to Embed Categorical Features without Embedding Tables for Recommendation-KDD.pdf

2021-Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering-WWW.pdf

2002-Using Confidence Bounds for Exploitation-Exploration Trade-offs.pdf

2010-A Contextual-Bandit Approach to Personalized News Article Recommendation.pdf

2010-Exploitation and Exploration in a Performance based Contextual Advertising System.pdf

2011-An Empirical Evaluation of Thompson Sampling.pdf

2016-Collaborative Filtering Bandits.pdf

2016-Random Forest for the Contextual Bandit Problem.pdf

2017-Factorization Bandits for Interactive Recommendation.pdf

2018-Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks.pdf

2018-TEM Tree-enhanced Embedding Model for Explainable Recommendation.pdf

2018-Why I like it multi-task learning for recommendation and explanation.pdf

2019-Explainable Reasoning over Knowledge Graphs for Recommendation.pdf

2019-Unifying Knowledge Graph Learning and Recommendation-Towards a Better Understanding of User Preferences.pdf

2007-Predicting Clicks - Estimating the Click-Through Rate for New Ads-WWW.pdf

2011-Fast Context-aware Recommendations with Factorization Machines-SIGIR.pdf

2013-Ad Click Prediction a View from the Trenches-KDD.pdf

2014-Practical Lessons from Predicting Clicks on Ads at Facebook-ADKDD.pdf

2016-Deep Crossing - Web-Scale Modeling without Manually Crafted Combinatorial Features-KDD.pdf

2016-Deep Learning over Multi-field Categorical Data-arXiv.pdf

2016-Field-aware Factorization Machines for CTR Prediction-RecSys.pdf

2016-Product-based Neural Networks for User Response Prediction.pdf

2016-Wide & Deep Learning for Recommender Systems-arXiv.pdf

2017-A Factorization-Machine based Neural Network for CTR Prediction-arXiv.pdf

2017-Attentional Factorization Machines - Learning the Weight of Feature Interactions via Attention Networks-arXiv.pdf

2017-Learning Piece-wise Linear Models from Large Scale Data for Ad Click Prediction-arXiv.pdf

2017-Neural Factorization Machines for Sparse Predictive Analytics-arXiv.pdf

2018-Deep Interest Evolution Network for Click-Through Rate Prediction.pdf

2018-Deep Interest Network for Click-Through Rate Prediction-arXiv.pdf

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

2019-Operation-aware Neural Networks for User Response Prediction.pdf

2016-Collaborative knowledge base embedding for recommender systems-KDD.pdf

2020-CKAN-Collaborative Knowledge-aware Attentive Network for Recommender Systems.pdf

2011-Collaborative topic modeling for recommending scientific articles.pdf

2013-Hidden factors and hidden topicsUnderstanding rating dimensions with review text.pdf

2014-Ratings meet reviews a combined approach to recommend..pdf

2016-Collaborative multi-level embedding learning from reviews for rating prediction..pdf

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

2016-Rating-boosted latent topics Understanding users and items with ratings and reviews.pdf

2017-Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction.pdf

2017-Joint deep modeling of users and items using reviews for recommendation.pdf

2018-A3NCF An Adaptive Aspect Attention Model for Rating Prediction.pdf

2018-ANR Aspect-based neural recommender.pdf

2018-Coevolutionary recommendation model Mutual learning between ratings and reviews.pdf

2018-Multi-pointer co-attention networks for recommendation.pdf

2018-Neural attentional rating regression with review-level explanations.pdf

2018-Parl Let strangers speak out what you like.pdf

2019-A context-aware user-item representation learning for item recommendation.pdf

2019-DAML Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation.pdf

2019-NRPA Neural Recommendation with Personalized Attention.pdf

2020-Fine-grained Interest Matching for Neural News Recommendation-ACL.pdf

2020-Graph Neural News Recommendation with Unsupervised Preference Disentanglement-ACL.pdf

2020-How Useful are Reviews for Recommendation-A Critical Review and Potential Improvements-SIGIR.pdf

2013-Interactive Collaborative Filtering-CIKM.pdf

2014-Context Adaptation in Interactive Recommender Systems-Recsys.pdf

2014-History-Guided conversational recommendation-WWW.pdf

2016-Towards Conversational Recommender Systems-KDD.pdf

2018-A two-stage approach toward interactive recommendation-KDD.pdf

2018-Conversational Recommender System-SIGIR.pdf

2018-Towards Deep Conversational Recommendations-NIPS.pdf

2018-Towards conversational search and recommendation-System ask, user respond-CIKM.pdf

2019-A Visual Dialog Augmented Interactive Recommender System-KDD.pdf

2019-Towards Knowledge-Based Recommender Dialog System-EMNLP.pdf

2020-Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems-SIGIR.pdf

2020-Conversational Recommendation-Formulation, Methods, and Evaluation-SIGIR.pdf

2020-Dynamic Online Conversation Recommendation-ACL.pdf

2020-Estimation-Action-Reflection-Towards Deep Interaction Between Conversational and Recommender Systems-WSDM.pdf

2020-Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion-KDD.pdf

2020-Interactive Path Reasoning on Graph for Conversational Recommendation-KDD.pdf

2020-Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning-SIGIR.pdf

2020-Neural Interactive Collaborative Filtering-SIGIR.pdf

2020-Pseudo Dyna-Q-A Reinforcement Learning Framework for Interactive Recommendation-WSDM.pdf

2020-Seamlessly Unifying Attributes and Items-Conversational Recommendation for Cold-Start Users.pdf

2020-Towards Conversational Recommendation over Multi-Type Dialogs-ACL.pdf

2020-Towards Explainable Conversational Recommendation-IJCAI.pdf

2020-Towards Question-based Recommender Systems-SIGIR.pdf

2020-User Memory Reasoning for Conversational Recommendation.pdf

Adobe1个子项

2024-Distributional Off-Policy Evaluation for Slate Recommendations.pdf

Airbnb1个子项

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

Alibaba26个子项

2018-Deep Interest Network for Click-Through Rate Prediction.pdf

2019-Deep Session Interest Network for Click-Through Rate Prediction.pdf

2019-Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction.pdf

2017-Learning Piece-wise Linear Models from Large Scale Data for Ad Click Prediction.pdf

2018-Deep Interest Evolution Network for Click-Through Rate Prediction.pdf

2018-Entire Space Multi-Task Model An Effective Approach for Estimating Post-Click Conversion Rate.pdf

2018-Learning Tree-based Deep Model for Recommender Systems.pdf

2018-Visualizing and Understanding Deep Neural Networks in CTR Prediction.pdf

2019-Behavior Sequence Transformer for E-commerce Recommendation in Alibaba.pdf

2019-Click-Through Rate Prediction with the User Memory Network.pdf

2019-Joint Optimization of Tree-based Index and Deep Model for Recommender Systems.pdf

2019-Multi-Interest Network with Dynamic Routing for Recommendation at Tmall.pdf

2019-Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction.pdf

2019-Representation Learning-Assisted Click-Through Rate Prediction.pdf

2020 Mixed Interest Network for Cross-Domain Click-Through Rate Prediction.pdf

2020-A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction.pdf

2020-COLD Towards the Next Generation of Pre-Ranking System.pdf

2020-Deep Interest with Hierarchical Attention Network for Click-Through Rate Prediction.pdf

2020-Deep Match to Rank Model for Personalized Click-Through Rate Prediction.pdf

2020-Deep Time-Stream Framework for Click-through Rate Prediction by Tracking Interest Evolution.pdf

2020-EdgeRec Recommender System on Edge in Mobile Taobao.pdf

2020-MTBRN Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction.pdf

2020-Search-based User Interest Modeling with Lifelong Sequential Behavior Data f.pdf

Baidu1个子项

2020-Whole-Chain Recommendations.pdf

Criteo1个子项

2016-Field-aware Factorization Machines for CTR Prediction.pdf

Facebook2个子项

2014-Practical Lessons from Predicting Clicks on Ads at Facebook.pdf

2019-Deep Learning Recommendation Model for Personalization and Recommendation Systems.pdf

Google8个子项

2017-Deep & Cross Network for Ad Click Predictions.pdf

2010-The YouTube Video Recommendation System.pdf

2013-Label Partitioning For Sublinear Ranking.pdf

2016-Deep Neural Networks for YouTube Recommendations.pdf

2016-Wide & Deep Learning for Recommender Systems.pdf

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

2019-Fairness in Recommendation Ranking through Pairwise Comparisons.pdf

2019-Sampling-bias-corrected neural modeling for large corpus item recommendations.pdf

Huawei5个子项

2019-Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction.pdf

2017-DeepFM A Factorization-Machine based Neural Network for CTR Prediction.pdf

2019-AutoFeature Searching for Feature Interactions and Their Architectures for Click-through Rate Prediction.pdf

2019-PAL A Position-bias Aware Learning Framework for CTR Prediction in Live Recommender Systems.pdf

2020-GraphSAIL Graph Structure Aware Incremental Learning for Recommender Systems.pdf

JingDong6个子项

2018-DeepFM An End-to-End Wide & Deep Learning Framework for CTR Prediction.pdf

2018-Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning.pdf

2019-Deep Reinforcement Learning for List-wise Recommendations.pdf

2019-Graph Neural Networks for Social Recommendation.pdf

Microsoft15个子项

2018-DKN Deep knowledge-aware network for news recommendation.pdf

2018-Ripplenet Propagating user preferences on the knowledge graph for recommender systems.pdf

2019-SDM Sequential Deep Matching Model for Online Large-scale Recommender System.pdf

2016-ITEM2VEC Neural item embedding for collaborative filtering.pdf

2018-DRN A Deep Reinforcement Learning Framework for News Recommendation.pdf

2018-Modeling and Simultaneously Removing Bias via Adversarial Neural Networks.pdf

2018-Privileged Features Distillation at Taobao Recommendations.pdf

2019-Co-Attentive Multi-Task Learning for Explainable Recommendation.pdf

2019-Neural News Recommendation with Attentive Multi-View Learning.pdf

2019-Personalized Multimedia Item and Key Frame Recommendation.pdf

2019-Session-based recommendation with graph neural networks.pdf

2019-SocialGCN An efficient graph convolutional network based model for social recommendation.pdf

Netflix1个子项

Sina1个子项

2019-FAT-DeepFFM Field Attentive Deep Field-aware Factorization Machine.pdf

Tencent4个子项

2017-Beyond clicks Modeling multi-relational item graph for session-based target behavior prediction.pdf

2019-Dual graph attention networks for deep latent representation of multifaceted social effects in recommender systems.pdf

2020-Deep Feedback Network for Recommendation.pdf

2020-GateNet Gating-Enhanced Deep Network for Click-Through Rate Prediction.pdf

Yahoo2个子项

2018-Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising.pdf

2020-Learning to Create Better Ads Generation and Ranking Approaches for Ad Creative Refinement.pdf

meituan1个子项

2019-Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems.pdf

2002-Collaborative filtering with privacy via factor analysis-SIGIR.pdf

2002-Collaborative filtering with privacy-S&P.pdf

2008-Robust De-anonymization of Large Sparse Datasets-SP.pdf

2012-BlurMe-inferring and obfuscating user gender based on ratings-Recsys.pdf

2015-Differentially Private Matrix Factorization-IJCAI.pdf

2016-Data Poisoning Attacks on Factorization-Based Collaborative Filtering-NIPS.pdf

2017-Secure Multi-Party Protocols for Item-Based Collaborative Filtering-Recsys.pdf

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

2018-Privacy Enhanced Matrix Factorization for Recommendation with Local Differential Privacy-TKDE.pdf

2018-Privacy Preserving Point-of-interest Recommendation Using Decentralized Matrix Factorization-AAAI.pdf

2019-Decentralized Recommendation Based on Matrix Factorization-A Comparison of Gossip and Federated Learning-PKDD.pdf

2019-Efficient Privacy-Preserving Recommendations based on Social Graphs-RecSys.pdf

2019-Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System.pdf

2020-A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations.pdf

2020-A Novel Privacy-Preserved Recommender System Framework based on Federated Learning.pdf

2020-Attacking Recommender Systems with Augmented User Profiles-CIKM.pdf

2020-DPLCF-Differentially Private Local Collaborative Filtering-SIGIR.pdf

2020-FedFast Going Beyond Average for Faster Training of Federated Recommender Systems-KDD.pdf

2020-FedRec Federated Recommendation with Explicit Feedback-Slides-IEEE-IS.pdf

2020-FedRec-Federated Recommendation with Explicit Feedback-IEEE-IS.pdf

2020-FedRec-Privacy-Preserving News Recommendation with Federated Learning.pdf

2020-Federated Multi-View Matrix Factorization for Personalized Recommendations.pdf

2020-Federated Recommendation System via Differential Privacy-ISIT.pdf

2020-GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Identification-SIGIR.pdf

2020-Global and Local Differential Privacy for Collaborative Bandits-RecSys.pdf

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

2020-Meta Matrix Factorization for Federated Rating Predictions-SIGIR.pdf

2020-Practical Data Poisoning Attack against Next-Item Recommendation.pdf

2020-PrivNet-Safeguarding Private Attributes in Transfer Learning for Recommendation-EMNLP.pdf

2020-Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning-WSDM.pdf

2020-Privacy-Preserving Gradient Boosting Decision Trees-AAAI.pdf

2020-Privacy-Preserving News Recommendation Model Training via Federated Learning.pdf

2020-Secure Federated Matrix Factorization-IEEE-IS.pdf

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

2020-Shared MF-A privacy-preserving recommendation system.pdf

2021-Data Poisoning Attacks to Deep Learning Based Recommender Systems-NDSS.pdf

2021-FedGNN-Federated Graph Neural Network for Privacy-Preserving Recommendation.pdf

2021-FedRec++- Lossless Federated Recommendation with Explicit Feedback-AAAI.pdf

2021-Graph Embedding for Recommendation against Attribute Inference Attacks.pdf

2021-Hierarchical Personalized Federated Learning for User Modeling-WWW.pdf

2021-Horizontal Cross-Silo Federated Recommender Systems-Recsys.pdf

2021-Machine Unlearning-SP.pdf

2022-Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation-WWW.pdf

2022-Federated Matrix Factorization with Privacy Guarantee-VLDB.pdf

2022-Privacy-Preserving Synthetic Data Generation for Recommendation Systems-SIGIR.pdf

2022-Unlearning Protected User Attributes in Recommendations with Adversarial Training-SIGIR.pdf

2023-LightFR Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization-TOIS.pdf

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

[23.05] A Survey on Large Language Models for Recommendation.pdf

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