List of works - Bo Chen

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

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

scientific article published on 08 October 2024

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

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

scientific article published on 08 May 2024

Compressed Interaction Graph based Framework for Multi-behavior Recommendation

scientific article published on 26 April 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

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

scientific article published on 25 August 2024

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

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

scientific article published on 08 October 2024

HAMUR: Hyper Adapter for Multi-Domain Recommendation

scientific article published on 21 October 2023

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

scientific article published on 20 October 2024

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

scientific article published on 13 July 2024

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

scientific article published on 20 October 2024

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

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

scientific article published on 08 May 2024

Retrieval-Oriented Knowledge for Click-Through Rate Prediction

scientific article published on 20 October 2024

Single-shot Feature Selection for Multi-task Recommendations

scientific article published on 19 July 2023

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

scientific article published on 08 October 2024

List of works by Bo Chen

A Comprehensive Survey on Automated Machine Learning for Recommendations

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

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

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

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

Compressed Interaction Graph based Framework for Multi-behavior Recommendation

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

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

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

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems

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

HAMUR: Hyper Adapter for Multi-Domain Recommendation

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

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

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

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

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

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

Retrieval-Oriented Knowledge for Click-Through Rate Prediction

Single-shot Feature Selection for Multi-task Recommendations

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