Zhaocheng Du

Orcid: 0000-0002-1811-129X

According to our database1, Zhaocheng Du authored at least 15 papers between 2023 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2023
2024
0
5
10
15
7
6
2

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval.
CoRR, 2024

RecSys Arena: Pair-wise Recommender System Evaluation with Large Language Models.
CoRR, 2024

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation.
CoRR, 2024

AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems.
CoRR, 2024

Prompt Tuning as User Inherent Profile Inference Machine.
CoRR, 2024

Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation.
CoRR, 2024

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems.
CoRR, 2024

LightCS: Selecting Quadratic Feature Crosses in Linear Complexity.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

A Tutorial on Feature Interpretation in Recommender Systems.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Single-shot Feature Selection for Multi-task Recommendations.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Diffusion Augmentation for Sequential Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023


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