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diff --git a/ABTest/Overlapping Experiment Infrastructure - More, Better, Faster Experimentation.pdf b/ABTest/Overlapping Experiment Infrastructure - More, Better, Faster Experimentation.pdf
diff --git a/...ended Temperature Scaling - A Practical Approach for Calibrating Deep Neural Networks.pdf b/...ended Temperature Scaling - A Practical Approach for Calibrating Deep Neural Networks.pdf
diff --git a/...ded and easily implemented improvement on logistic calibration for binary classifiers.pdf b/...ded and easily implemented improvement on logistic calibration for binary classifiers.pdf
diff --git a/...aling - Obtaining well-calibrated multiclass probabilities with Dirichlet calibration.pdf b/...aling - Obtaining well-calibrated multiclass probabilities with Dirichlet calibration.pdf
diff --git a/Calibration/CALIBRATION OF NEURAL NETWORKS USING SPLINES.pdf b/Calibration/CALIBRATION OF NEURAL NETWORKS USING SPLINES.pdf
diff --git a/Calibration/Calibrated Recommendations.pdf b/Calibration/Calibrated Recommendations.pdf
diff --git a/Calibration/Calibrating User Response Predictions in Online Advertising.pdf b/Calibration/Calibrating User Response Predictions in Online Advertising.pdf
diff --git a/...on/Crank up the volume - preference bias amplificationin collaborative recommendation.pdf b/...on/Crank up the volume - preference bias amplificationin collaborative recommendation.pdf
diff --git a/...stribution-free calibration guarantees for histogram binning without sample splitting.pdf b/...stribution-free calibration guarantees for histogram binning without sample splitting.pdf
diff --git a/...ation - A Simple and Empirically Strong Method for Reliable Probabilistic Predictions.pdf b/...ation - A Simple and Empirically Strong Method for Reliable Probabilistic Predictions.pdf
diff --git a/...ration/MBCT - Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration.pdf b/...ration/MBCT - Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration.pdf
diff --git a/Calibration/Measuring Calibration in Deep Learning.pdf b/Calibration/Measuring Calibration in Deep Learning.pdf
diff --git a/Calibration/Mitigating Bias in Calibration Error Estimation.pdf b/Calibration/Mitigating Bias in Calibration Error Estimation.pdf
diff --git a/Calibration/Obtaining Well Calibrated Probabilities Using Bayesian Binning.pdf b/Calibration/Obtaining Well Calibrated Probabilities Using Bayesian Binning.pdf
diff --git a/...g calibrated probability estimates from decision trees and naive Bayesian classifiers.pdf b/...g calibrated probability estimates from decision trees and naive Bayesian classifiers.pdf
diff --git a/Calibration/On Calibration of Modern Neural Networks.pdf b/Calibration/On Calibration of Modern Neural Networks.pdf
diff --git a/...ty Matters - Doubly-Adaptive Calibration for Neural Predictions in Online Advertising.pdf b/...ty Matters - Doubly-Adaptive Calibration for Neural Predictions in Online Advertising.pdf
diff --git a/...outputs for support vector machines and comparisons to regularized likelihood methods.pdf b/...outputs for support vector machines and comparisons to regularized likelihood methods.pdf
diff --git a/...bration/Transforming Classifier Scores into Accurate Multiclass Probability Estimates.pdf b/...bration/Transforming Classifier Scores into Accurate Multiclass Probability Estimates.pdf
diff --git a/...rence/CauseRec - Counterfactual User Sequence Synthesis for Sequential Recommendation.pdf b/...rence/CauseRec - Counterfactual User Sequence Synthesis for Sequential Recommendation.pdf
diff --git a/...Clicks can be Cheating - Counterfactual Recommendation for Mitigating Clickbait Issue.pdf b/...Clicks can be Cheating - Counterfactual Recommendation for Mitigating Clickbait Issue.pdf
diff --git a/CausalInference/Counterfactual Data-Augmented Sequential Recommendation.pdf b/CausalInference/Counterfactual Data-Augmented Sequential Recommendation.pdf
diff --git a/CausalInference/Deconfounded Recommendation for Alleviating Bias Amplification.pdf b/CausalInference/Deconfounded Recommendation for Alleviating Bias Amplification.pdf
diff --git a/...ference/Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random.pdf b/...ference/Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random.pdf
diff --git a/CausalInference/Improving Ad Click Prediction by Considering Non-displayed Events.pdf b/CausalInference/Improving Ad Click Prediction by Considering Non-displayed Events.pdf
diff --git a/...nostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System.pdf b/...nostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System.pdf
diff --git a/CausalInference/Recommendations as Treatments - Debiasing Learning and Evaluation.pdf b/CausalInference/Recommendations as Treatments - Debiasing Learning and Evaluation.pdf
diff --git a/Cold-Start/A Practical Exploration System for Search Advertising.pdf b/Cold-Start/A Practical Exploration System for Search Advertising.pdf
diff --git a/...A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps.pdf b/...A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps.pdf
diff --git a/... Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework.pdf b/... Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework.pdf
diff --git a/Cold-Start/Cold-start Sequential Recommendation via Meta Learner.pdf b/Cold-Start/Cold-start Sequential Recommendation via Meta Learner.pdf
diff --git a/...Exploitation/A Contextual-Bandit Approach to Personalized News Article Recommendation.pdf b/...Exploitation/A Contextual-Bandit Approach to Personalized News Article Recommendation.pdf
diff --git a/Cold-Start/Exploration&Exploitation/An Empirical Evaluation of Thompson Sampling.pdf b/Cold-Start/Exploration&Exploitation/An Empirical Evaluation of Thompson Sampling.pdf
diff --git a/...Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks.pdf b/...Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks.pdf
diff --git a/Cold-Start/MAMO - Memory-Augmented Meta-Optimization for Cold-start Recommendation.pdf b/Cold-Start/MAMO - Memory-Augmented Meta-Optimization for Cold-start Recommendation.pdf
diff --git a/...tart/MetaLearning/A Meta-Learning Perspective on Cold-Start Recommendations for Items.pdf b/...tart/MetaLearning/A Meta-Learning Perspective on Cold-Start Recommendations for Items.pdf
diff --git a/...ng/Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction.pdf b/...ng/Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction.pdf
diff --git a/...aLearning/MeLU - Meta-Learned User Preference Estimator for Cold-Start Recommendation.pdf b/...aLearning/MeLU - Meta-Learned User Preference Estimator for Cold-Start Recommendation.pdf
diff --git a/...arning/Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks.pdf b/...arning/Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks.pdf
diff --git a/...ing/Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation.pdf b/...ing/Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation.pdf
diff --git a/...earning/Personalized Adaptive Meta Learning for Cold-start User Preference Prediction.pdf b/...earning/Personalized Adaptive Meta Learning for Cold-start User Preference Prediction.pdf
diff --git a/Cold-Start/MetaLearning/Preference-Adaptive Meta-Learning for Cold-Start Recommendation.pdf b/Cold-Start/MetaLearning/Preference-Adaptive Meta-Learning for Cold-Start Recommendation.pdf
diff --git a/...aLearning/Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users.pdf b/...aLearning/Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users.pdf
diff --git a/...ransform Cold-Start Users into Warm via Fused Behaviors in Large-Scale Recommendation.pdf b/...ransform Cold-Start Users into Warm via Fused Behaviors in Large-Scale Recommendation.pdf
diff --git a/...-start Advertisements - Improving CTR Predictions via Learning to Learn ID Embeddings.pdf b/...-start Advertisements - Improving CTR Predictions via Learning to Learn ID Embeddings.pdf
diff --git a/Cold-Start/[2017][DropoutNet] DropoutNet - Addressing Cold Start in Recommender Systems.pdf b/Cold-Start/[2017][DropoutNet] DropoutNet - Addressing Cold Start in Recommender Systems.pdf
diff --git a/Cold-Start/[2017][HIN] Heterogeneous Information Network Embedding for Recommendation.pdf b/Cold-Start/[2017][HIN] Heterogeneous Information Network Embedding for Recommendation.pdf
diff --git a/Cold-Start/[2017][MAML]Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks.pdf b/Cold-Start/[2017][MAML]Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks.pdf
diff --git a/... Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation.pdf b/... Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation.pdf
diff --git a/...hou][POSO] POSO - Personalized Cold Start Modules for Large-scale Recommender Systems.pdf b/...hou][POSO] POSO - Personalized Cold Start Modules for Large-scale Recommender Systems.pdf
diff --git a/...rastiveLearning/A Simple Framework for Contrastive Learning of Visual Representations.pdf b/...rastiveLearning/A Simple Framework for Contrastive Learning of Visual Representations.pdf
diff --git a/ContrastiveLearning/An Empirical Study of Training Self-Supervised Vision Transformers.pdf b/ContrastiveLearning/An Empirical Study of Training Self-Supervised Vision Transformers.pdf
diff --git a/ContrastiveLearning/Bootstrap Your Own Latent A New Approach to Self-Supervised Learning.pdf b/ContrastiveLearning/Bootstrap Your Own Latent A New Approach to Self-Supervised Learning.pdf
diff --git a/...rastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems.pdf b/...rastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems.pdf
diff --git a/ContrastiveLearning/Improved Baselines with Momentum Contrastive Learning.pdf b/ContrastiveLearning/Improved Baselines with Momentum Contrastive Learning.pdf
diff --git a/ContrastiveLearning/Momentum Contrast for Unsupervised Visual Representation Learning.pdf b/ContrastiveLearning/Momentum Contrast for Unsupervised Visual Representation Learning.pdf
diff --git a/...ntrastive Representation Learning through Alignment and Uniformity on the Hypersphere.pdf b/...ntrastive Representation Learning through Alignment and Uniformity on the Hypersphere.pdf
diff --git a/ContrastiveLearning/Understanding the Behaviour of Contrastive Loss.pdf b/ContrastiveLearning/Understanding the Behaviour of Contrastive Loss.pdf
diff --git a/Debias/AutoDebias - Learning to Debias for Recommendation.pdf b/Debias/AutoDebias - Learning to Debias for Recommendation.pdf
diff --git a/Debias/Bias and Debias in Recommender System A Survey and Future Directions.pdf b/Debias/Bias and Debias in Recommender System A Survey and Future Directions.pdf
diff --git a/Debias/Controlling Fairness and Bias in Dynamic Learning-to-Rank.pdf b/Debias/Controlling Fairness and Bias in Dynamic Learning-to-Rank.pdf
diff --git a/Debias/Deep Position-wise Interaction Network for CTR Prediction.pdf b/Debias/Deep Position-wise Interaction Network for CTR Prediction.pdf
diff --git a/Debias/Denoising Implicit Feedback for Recommendation.pdf b/Debias/Denoising Implicit Feedback for Recommendation.pdf
diff --git a/Debias/Learning to rank with selection bias in personal search.pdf b/Debias/Learning to rank with selection bias in personal search.pdf
diff --git a/Debias/Unbiased Learning-to-Rank with Biased Feedback.pdf b/Debias/Unbiased Learning-to-Rank with Biased Feedback.pdf
diff --git a/...position-bias aware learning framework for CTR prediction in live recommender systems.pdf b/...position-bias aware learning framework for CTR prediction in live recommender systems.pdf
diff --git a/Distillation/Ensembled CTR Prediction via Knowledge Distillation.pdf b/Distillation/Ensembled CTR Prediction via Knowledge Distillation.pdf
diff --git a/Distillation/Privileged Features Distillation at Taobao Recommendations.pdf b/Distillation/Privileged Features Distillation at Taobao Recommendations.pdf
diff --git a/...lation - Learning Compact Ranking Models With High Performance for Recommender System.pdf b/...lation - Learning Compact Ranking Models With High Performance for Recommender System.pdf
diff --git a/...aunching - A Universal and Efficient Framework for Training Well-performing Light Net.pdf b/...aunching - A Universal and Efficient Framework for Training Well-performing Light Net.pdf
diff --git a/...sed Multi-task Learning - A Candidate Generation Model for Improving Reading Duration.pdf b/...sed Multi-task Learning - A Candidate Generation Model for Improving Reading Duration.pdf
diff --git a/...mending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks.pdf b/...mending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks.pdf
diff --git a/Diverse/Adaptive, Personalized Diversity for Visual Discovery.pdf b/Diverse/Adaptive, Personalized Diversity for Visual Discovery.pdf
diff --git a/Diverse/DGCN - Diversified Recommendation with Graph Convolutional Networks.pdf b/Diverse/DGCN - Diversified Recommendation with Graph Convolutional Networks.pdf
diff --git a/Diverse/Diversifying Search Results.pdf b/Diverse/Diversifying Search Results.pdf
diff --git a/...Streaming Determinantal Point Processes under a Maximum Induced Cardinality Objective.pdf b/...Streaming Determinantal Point Processes under a Maximum Induced Cardinality Objective.pdf
diff --git a/Diverse/Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation.pdf b/Diverse/Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation.pdf
diff --git a/...cing Recommendation Diversity using Determinantal Point Processes on Knowledge Graphs.pdf b/...cing Recommendation Diversity using Determinantal Point Processes on Knowledge Graphs.pdf
diff --git a/Diverse/Exploiting Query Reformulations for Web Search Result Diversification.pdf b/Diverse/Exploiting Query Reformulations for Web Search Result Diversification.pdf
diff --git a/... Diversified Re-ranking with Disentangled Representations for Relevant Recommendation.pdf b/... Diversified Re-ranking with Disentangled Representations for Relevant Recommendation.pdf
diff --git a/Diverse/Future-Aware Diverse Trends Framework for Recommendation.pdf b/Diverse/Future-Aware Diverse Trends Framework for Recommendation.pdf
diff --git a/Diverse/Improving Recommendation Lists Through Topic Diversification.pdf b/Diverse/Improving Recommendation Lists Through Topic Diversification.pdf
diff --git a/Diverse/Managing Diversity in Airbnb Search.pdf b/Diverse/Managing Diversity in Airbnb Search.pdf
diff --git a/Diverse/Novelty and Diversity in Information Retrieval Evaluation.pdf b/Diverse/Novelty and Diversity in Information Retrieval Evaluation.pdf
diff --git a/...mpanion - A Principled Framework for Diversified Complementary Product Recommendation.pdf b/...mpanion - A Principled Framework for Diversified Complementary Product Recommendation.pdf
diff --git a/...ei][pDPP] Personalized Re-ranking for Improving Diversity in Live Recommender Systems.pdf b/...ei][pDPP] Personalized Re-ranking for Improving Diversity in Live Recommender Systems.pdf
diff --git a/Fairness/[2020][FairCo] Controlling Fairness and Bias in Dynamic Learning-to-Rank.pdf b/Fairness/[2020][FairCo] Controlling Fairness and Bias in Dynamic Learning-to-Rank.pdf
diff --git a/...lay/A Feedback Shift Correction in Predicting Conversion Rates under Delayed Feedback.pdf b/...lay/A Feedback Shift Correction in Predicting Conversion Rates under Delayed Feedback.pdf
diff --git a/Feedback-Delay/A Nonparametric Delayed Feedback Model for Conversion Rate Prediction.pdf b/Feedback-Delay/A Nonparametric Delayed Feedback Model for Conversion Rate Prediction.pdf
diff --git a/...ssing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction.pdf b/...ssing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction.pdf
diff --git a/...lay/An Attention-based Model for CVR with Delayed Feedback via Post-Click Calibration.pdf b/...lay/An Attention-based Model for CVR with Delayed Feedback via Post-Click Calibration.pdf
diff --git a/...Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction.pdf b/...Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction.pdf
diff --git a/...lay/Capturing Delayed Feedback in Conversion Rate Predictionvia Elapsed-Time Sampling.pdf b/...lay/Capturing Delayed Feedback in Conversion Rate Predictionvia Elapsed-Time Sampling.pdf
diff --git a/...Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback.pdf b/...Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback.pdf
diff --git a/...lay/Delayed Feedback Model with Negative Binomial Regression for Multiple Conversions.pdf b/...lay/Delayed Feedback Model with Negative Binomial Regression for Multiple Conversions.pdf
diff --git a/Feedback-Delay/Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction.pdf b/Feedback-Delay/Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction.pdf
diff --git a/Feedback-Delay/Dual Learning Algorithm for Delayed Conversions.pdf b/Feedback-Delay/Dual Learning Algorithm for Delayed Conversions.pdf
diff --git a/Feedback-Delay/Handling many conversions per click in modeling delayed feedback.pdf b/Feedback-Delay/Handling many conversions per click in modeling delayed feedback.pdf
diff --git a/Feedback-Delay/Modeling Delayed Feedback in Display Advertising.pdf b/Feedback-Delay/Modeling Delayed Feedback in Display Advertising.pdf
diff --git a/...atives Matter - Continuous Training with Real Negatives for Delayed Feedback Modeling.pdf b/...atives Matter - Continuous Training with Real Negatives for Delayed Feedback Modeling.pdf
diff --git a/Learning-to-Rank/List-wise/AdaRank - A Boosting Algorithm for Information Retrieval.pdf b/Learning-to-Rank/List-wise/AdaRank - A Boosting Algorithm for Information Retrieval.pdf
diff --git a/Learning-to-Rank/List-wise/From RankNet to LambdaRank to LambdaMART.pdf b/Learning-to-Rank/List-wise/From RankNet to LambdaRank to LambdaMART.pdf
diff --git a/...g-to-Rank/List-wise/LambdaMART - Adapting Boosting for Information Retrieval Measures.pdf b/...g-to-Rank/List-wise/LambdaMART - Adapting Boosting for Information Retrieval Measures.pdf
diff --git a/...nk/List-wise/ListNet - Learning to Rank - From Pairwise Approach to Listwise Approach.pdf b/...nk/List-wise/ListNet - Learning to Rank - From Pairwise Approach to Listwise Approach.pdf
diff --git a/Learning-to-Rank/Pair-wise/LambdaRank - Learning_to_Rank_with_Nonsmooth_Cost_Functions.pdf b/Learning-to-Rank/Pair-wise/LambdaRank - Learning_to_Rank_with_Nonsmooth_Cost_Functions.pdf
diff --git a/...o-Rank/Pair-wise/RankBoost - An Effcient Boosting Algorithm for Combining Preferences.pdf b/...o-Rank/Pair-wise/RankBoost - An Effcient Boosting Algorithm for Combining Preferences.pdf
diff --git a/Learning-to-Rank/Pair-wise/RankNET - Learning to Rank Using Gradient Descent.pdf b/Learning-to-Rank/Pair-wise/RankNET - Learning to Rank Using Gradient Descent.pdf
diff --git a/Learning-to-Rank/Point-wise/Learning to Rank Using Classification and Gradient.pdf b/Learning-to-Rank/Point-wise/Learning to Rank Using Classification and Gradient.pdf
diff --git a/Look-Alike/A Sub-linear, Massive-scale Look-alike Audience Extension System.pdf b/Look-Alike/A Sub-linear, Massive-scale Look-alike Audience Extension System.pdf
diff --git a/Look-Alike/Audience Expansion for Online Social Network Advertising.pdf b/Look-Alike/Audience Expansion for Online Social Network Advertising.pdf
diff --git a/Look-Alike/Effective Audience Extension in Online Advertising.pdf b/Look-Alike/Effective Audience Extension in Online Advertising.pdf
diff --git a/Look-Alike/Finding Users Who Act Alike - Transfer Learning for Expanding.pdf b/Look-Alike/Finding Users Who Act Alike - Transfer Learning for Expanding.pdf
diff --git a/...019][Tencent][RALM] Real-time Attention Based Look-alike Model for Recommender System.pdf b/...019][Tencent][RALM] Real-time Attention Based Look-alike Model for Recommender System.pdf
diff --git a/...odal/Adversarial Multimodal Representation Learning for Click-Through Rate Prediction.pdf b/...odal/Adversarial Multimodal Representation Learning for Click-Through Rate Prediction.pdf
diff --git a/.../A Survey on Cross-domain Recommendation - Taxonomies, Methods, and Future Directions.pdf b/.../A Survey on Cross-domain Recommendation - Taxonomies, Methods, and Future Directions.pdf
diff --git a/...cenario/APG - Adaptive Parameter Generation Network for Click-Through Rate Prediction.pdf b/...cenario/APG - Adaptive Parameter Generation Network for Click-Through Rate Prediction.pdf
diff --git a/... Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction.pdf b/... Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction.pdf
diff --git a/Multi-Scenario/Automatic Expert Selection for Multi-Scenario and Multi-Task Search.pdf b/Multi-Scenario/Automatic Expert Selection for Multi-Scenario and Multi-Task Search.pdf
diff --git a/Multi-Scenario/Cross-Domain Recommendation - An Embedding and Mapping Approach.pdf b/Multi-Scenario/Cross-Domain Recommendation - An Embedding and Mapping Approach.pdf
diff --git a/...io Learning to Rank in E-commerce by Exploiting Task Relationships in the Label Space.pdf b/...io Learning to Rank in E-commerce by Exploiting Task Relationships in the Label Space.pdf
diff --git a/...ne Behind- A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling.pdf b/...ne Behind- A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling.pdf
diff --git a/.../Multi-Graph based Multi-Scenario Recommendation in Large-scale Online Video Services.pdf b/.../Multi-Graph based Multi-Scenario Recommendation in Large-scale Online Video Services.pdf
diff --git a/Multi-Scenario/Personalized Transfer of User Preferences for Cross-domain Recommendation.pdf b/Multi-Scenario/Personalized Transfer of User Preferences for Cross-domain Recommendation.pdf
diff --git a/...nario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce.pdf b/...nario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce.pdf
diff --git a/...sed Learning on Users’ Spontaneous Behaviors for Multi-Scenario Ranking in E-commerce.pdf b/...sed Learning on Users’ Spontaneous Behaviors for Multi-Scenario Ranking in E-commerce.pdf
diff --git a/...0][JD][DADNN] DADNN - Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network.pdf b/...0][JD][DADNN] DADNN - Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network.pdf
diff --git a/...odel to Serve All - Star Topology Adaptive Recommenderfor Multi-Domain CTR Prediction.pdf b/...odel to Serve All - Star Topology Adaptive Recommenderfor Multi-Domain CTR Prediction.pdf
diff --git a/Pre-Rank/AutoFAS - Automatic Feature and Architecture Selection for Pre-Ranking System.pdf b/Pre-Rank/AutoFAS - Automatic Feature and Architecture Selection for Pre-Ranking System.pdf
diff --git a/Pre-Rank/Cascade Ranking for Operational E-commerce Search.pdf b/Pre-Rank/Cascade Ranking for Operational E-commerce Search.pdf
diff --git a/Pre-Rank/Contrastive Information Transfer for Pre-Ranking Systems.pdf b/Pre-Rank/Contrastive Information Transfer for Pre-Ranking Systems.pdf
diff --git a/Pre-Rank/EENMF - An End-to-End Neural Matching Framework for E-Commerce Sponsored Search.pdf b/Pre-Rank/EENMF - An End-to-End Neural Matching Framework for E-Commerce Sponsored Search.pdf
diff --git a/Pre-Rank/[2020][Alibaba][COLD] COLD - Towards the Next Generation of Pre-Ranking System.pdf b/Pre-Rank/[2020][Alibaba][COLD] COLD - Towards the Next Generation of Pre-Ranking System.pdf
diff --git a/...tiveness and Efficiency in Pre-Ranking - A Learnable Feature Selection based Approach.pdf b/...tiveness and Efficiency in Pre-Ranking - A Learnable Feature Selection based Approach.pdf
diff --git a/Pre-Rank/[2022] On Ranking Consistency of Pre-ranking Stage.pdf b/Pre-Rank/[2022] On Ranking Consistency of Pre-ranking Stage.pdf
diff --git a/...nk/Coverage, Redundancy and Size-Awareness in Genre Diversity for Recommender Systems.pdf b/...nk/Coverage, Redundancy and Size-Awareness in Genre Diversity for Recommender Systems.pdf
diff --git a/Re-Rank/Cross DQN - Cross Deep Q Network for Ads Allocation in Feed.pdf b/Re-Rank/Cross DQN - Cross Deep Q Network for Ads Allocation in Feed.pdf
diff --git a/Re-Rank/GRN - Generative Rerank Network for Context-wise Recommendation.pdf b/Re-Rank/GRN - Generative Rerank Network for Context-wise Recommendation.pdf
diff --git a/Re-Rank/GenDeR - A Generic Diversified Ranking Algorithm.pdf b/Re-Rank/GenDeR - A Generic Diversified Ranking Algorithm.pdf
diff --git a/Re-Rank/Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search.pdf b/Re-Rank/Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search.pdf
diff --git a/Re-Rank/Learning a Deep Listwise Context Model for Ranking Refinement.pdf b/Re-Rank/Learning a Deep Listwise Context Model for Ranking Refinement.pdf
diff --git a/Re-Rank/Neural Re-ranking in Multi-stage Recommender Systems - A Review.pdf b/Re-Rank/Neural Re-ranking in Multi-stage Recommender Systems - A Review.pdf
diff --git a/Re-Rank/Personalized Click Shaping through Lagrangian Duality for Online Recommendation.pdf b/Re-Rank/Personalized Click Shaping through Lagrangian Duality for Online Recommendation.pdf
diff --git a/Re-Rank/Personalized Re-ranking for Recommendation.pdf b/Re-Rank/Personalized Re-ranking for Recommendation.pdf
diff --git a/...k/Practical Diversified Recommendations on YouTube with Determinantal Point Processes.pdf b/...k/Practical Diversified Recommendations on YouTube with Determinantal Point Processes.pdf
diff --git a/.../Re-ranking With Constraints on Diversified Exposures for Homepage Recommender System.pdf b/.../Re-ranking With Constraints on Diversified Exposures for Homepage Recommender System.pdf
diff --git a/Re-Rank/Revisit Recommender System in the Permutation Prospective.pdf b/Re-Rank/Revisit Recommender System in the Permutation Prospective.pdf
diff --git a/...LATEQ - A Tractable Decomposition for Reinforcement Learning with Recommendation Sets.pdf b/...LATEQ - A Tractable Decomposition for Reinforcement Learning with Recommendation Sets.pdf
diff --git a/Re-Rank/Seq2slate - Re-ranking and slate optimization with rnns.pdf b/Re-Rank/Seq2slate - Re-ranking and slate optimization with rnns.pdf
diff --git a/Re-Rank/Sliding Spectrum Decomposition for Diversified Recommendation.pdf b/Re-Rank/Sliding Spectrum Decomposition for Diversified Recommendation.pdf
diff --git a/...se of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries.pdf b/...se of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries.pdf
diff --git a/Re-Rank/User Response Models to Improve a REINFORCE Recommender System.pdf b/Re-Rank/User Response Models to Improve a REINFORCE Recommender System.pdf
diff --git a/...edy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity.pdf b/...edy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity.pdf
diff --git a/Re-Rank/[2020][LinkedIn] Ads Allocation in Feed via Constrained Optimization.pdf b/Re-Rank/[2020][LinkedIn] Ads Allocation in Feed via Constrained Optimization.pdf
diff --git a/Reinforce/Jointly Learning to Recommend and Advertise.pdf b/Reinforce/Jointly Learning to Recommend and Advertise.pdf
diff --git a/...Slate-based Recommender Systems - A Tractable Decomposition and Practical Methodology.pdf b/...Slate-based Recommender Systems - A Tractable Decomposition and Practical Methodology.pdf
diff --git a/Reinforce/Top-K Off-Policy Correctionfor a REINFORCE Recommender System.pdf b/Reinforce/Top-K Off-Policy Correctionfor a REINFORCE Recommender System.pdf