List of works - Ruiming Tang

A Bird's-eye View of Reranking: From List Level to Page Level

scientific article published on 22 February 2023

A Comprehensive Survey on Automated Machine Learning for Recommendations

scientific article published on 26 October 2023

A Survey on Bid Optimization in Real-Time Bidding Display Advertising

scientific article published on 18 October 2023

A Unified Framework for Multi-Domain CTR Prediction via Large Language Models

scientific article published on 14 October 2024

AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising

scientific article published on 08 October 2024

An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages

scientific article published on 22 February 2023

AutoGen: An Automated Dynamic Model Generation Framework for Recommender System

scientific article published on 22 February 2023

AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction

scientific article published on 14 September 2023

AutoTransfer: Instance Transfer for Cross-Domain Recommendations

scientific article published on 19 July 2023

Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation

scientific article published on 19 July 2023

ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction

scientific article published on 08 May 2024

Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation

scientific article published on 28 June 2023

Compressed Interaction Graph based Framework for Multi-behavior Recommendation

scientific article published on 26 April 2023

Customer Lifetime Value Prediction: Towards the Paradigm Shift of Recommender System Objectives

scientific article published on 14 September 2023

DFFM: Domain Facilitated Feature Modeling for CTR Prediction

scientific article published on 21 October 2023

Deep Landscape Forecasting in Multi-Slot Real-Time Bidding

scientific article published on 04 August 2023

Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation

scientific article published on 04 March 2024

Diffusion Augmentation for Sequential Recommendation

scientific article published on 21 October 2023

DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation

scientific article published on 25 August 2024

Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System

scientific article published on 21 October 2023

Dynamically Expandable Graph Convolution for Streaming Recommendation

scientific article published on 26 April 2023

ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation

scientific article published on 20 October 2024

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems

scientific article published on 25 August 2024

Embedding Compression in Recommender Systems: A Survey

scientific article published on 15 December 2023

FINAL: Factorized Interaction Layer for CTR Prediction

scientific article published on 19 July 2023

FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction

scientific article published on 08 October 2024

GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing

scientific article published on 04 August 2023

Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation

scientific article published on 21 October 2023

HAMUR: Hyper Adapter for Multi-Domain Recommendation

scientific article published on 21 October 2023

HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning

scientific article published on 12 May 2024

HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations

scientific article published on 20 October 2024

Hierarchical Projection Enhanced Multi-behavior Recommendation

scientific article published on 04 August 2023

How Can Recommender Systems Benefit from Large Language Models: A Survey

scientific article published on 13 July 2024

IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation

scientific article published on 04 March 2024

Integrated Ranking for News Feed with Reinforcement Learning

scientific article published on 28 April 2023

International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023

scientific article published on 14 September 2023

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation

scientific article published on 20 October 2024

Learning to Retrieve User Behaviors for Click-through Rate Estimation

scientific article published on 09 January 2023

LightCS: Selecting Quadratic Feature Crosses in Linear Complexity

scientific article published on 12 May 2024

M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation

scientific article published on 08 May 2024

MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction

scientific article published on 04 August 2023

MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models

scientific article published on 20 October 2024

On-device Integrated Re-ranking with Heterogeneous Behavior Modeling

scientific article published on 04 August 2023

Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising

scientific article published on 21 October 2023

PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations

scientific article published on 19 July 2023

Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space

scientific article published on 08 October 2024

ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation

scientific article published on 08 May 2024

ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop

scientific article published on 04 August 2023

Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data

scientific article published on 12 May 2024

Retrieval-Oriented Knowledge for Click-Through Rate Prediction

scientific article published on 20 October 2024

Robust Causal Inference for Recommender System to Overcome Noisy Confounders

scientific article published on 19 July 2023

SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model

scientific article published on 20 October 2024

Single-shot Feature Selection for Multi-task Recommendations

scientific article published on 19 July 2023

Task Adaptive Multi-learner Network for Joint CTR and CVR Estimation

scientific article published on 28 April 2023

Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

scientific article published on 08 October 2024

User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation

scientific article published on 04 March 2024

User Behavior Modeling with Deep Learning for Recommendation: Recent Advances

scientific article published on 14 September 2023

Utility-Oriented Reranking with Counterfactual Context

scientific article published on 04 June 2024

List of works by Ruiming Tang

A Bird's-eye View of Reranking: From List Level to Page Level

A Comprehensive Survey on Automated Machine Learning for Recommendations

A Survey on Bid Optimization in Real-Time Bidding Display Advertising

A Unified Framework for Multi-Domain CTR Prediction via Large Language Models

AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising

An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages

AutoGen: An Automated Dynamic Model Generation Framework for Recommender System

AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction

AutoTransfer: Instance Transfer for Cross-Domain Recommendations

Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation

ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction

Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation

Compressed Interaction Graph based Framework for Multi-behavior Recommendation

Customer Lifetime Value Prediction: Towards the Paradigm Shift of Recommender System Objectives

DFFM: Domain Facilitated Feature Modeling for CTR Prediction

Deep Landscape Forecasting in Multi-Slot Real-Time Bidding

Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation

Diffusion Augmentation for Sequential Recommendation

DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation

Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System

Dynamically Expandable Graph Convolution for Streaming Recommendation

ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems

Embedding Compression in Recommender Systems: A Survey

FINAL: Factorized Interaction Layer for CTR Prediction

FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction

GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing

Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation

HAMUR: Hyper Adapter for Multi-Domain Recommendation

HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning

HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations

Hierarchical Projection Enhanced Multi-behavior Recommendation

How Can Recommender Systems Benefit from Large Language Models: A Survey

IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation

Integrated Ranking for News Feed with Reinforcement Learning

International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation

Learning to Retrieve User Behaviors for Click-through Rate Estimation

LightCS: Selecting Quadratic Feature Crosses in Linear Complexity

M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation

MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction

MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models

On-device Integrated Re-ranking with Heterogeneous Behavior Modeling

Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising

PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations

Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space

ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation

ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop

Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data

Retrieval-Oriented Knowledge for Click-Through Rate Prediction

Robust Causal Inference for Recommender System to Overcome Noisy Confounders

SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model

Single-shot Feature Selection for Multi-task Recommendations

Task Adaptive Multi-learner Network for Joint CTR and CVR Estimation

Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation

User Behavior Modeling with Deep Learning for Recommendation: Recent Advances

Utility-Oriented Reranking with Counterfactual Context