Lista de obras -

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

artículo científico publicado en 2024

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

artículo científico publicado en 2023

Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era

artículo científico publicado en 2024

Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset

artículo científico publicado en 2023

CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation

artículo científico publicado en 2024

Confidence-Aware Multi-Field Model Calibration

artículo científico publicado en 2024

Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time

artículo científico publicado en 2024

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

artículo científico publicado en 2023

Data-free Knowledge Distillation for Reusing Recommendation Models

artículo científico publicado en 2023

Debiased Recommendation with User Feature Balancing

artículo científico publicado en 2023

Debiased Representation Learning in Recommendation via Information Bottleneck

artículo científico publicado en 2022

DisCover: Disentangled Music Representation Learning for Cover Song Identification

artículo científico publicado en 2023

EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration

artículo científico publicado en 2024

EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction

scientific article published on 20 October 2024

FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation

scientific article published on 26 April 2023

FINAL: Factorized Interaction Layer for CTR Prediction

artículo científico publicado en 2023

Gradient Matching for Categorical Data Distillation in CTR Prediction

artículo científico publicado en 2023

Guaranteeing Accuracy and Fairness under Fluctuating User Traffic: A Bankruptcy-Inspired Re-ranking Approach

artículo científico publicado en 2024

Large Scale CVR Prediction through Hierarchical History Modeling

artículo científico publicado en 2023

Law Article-Enhanced Legal Case Matching: A Causal Learning Approach

scientific article published on 19 July 2023

LightCS: Selecting Quadratic Feature Crosses in Linear Complexity

artículo científico publicado en 2024

MART: Learning Hierarchical Music Audio Representations with Part-Whole Transformer

artículo científico publicado en 2024

Multimodal Pretraining and Generation for Recommendation: A Tutorial

artículo científico publicado en 2024

Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey

artículo científico publicado en 2024

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

artículo científico publicado en 2023

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

artículo científico publicado en 2024

Recommendation with Causality enhanced Natural Language Explanations

scientific article published on 26 April 2023

Robust Causal Inference for Recommender System to Overcome Noisy Confounders

scientific article published on 19 July 2023

Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking

artículo científico publicado en 2023

Single-shot Feature Selection for Multi-task Recommendations

artículo científico publicado en 2023

Syntactic-Informed Graph Networks for Sentence Matching

artículo científico publicado en 2023

Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition

artículo científico publicado en 2023

Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation

scientific article published on 14 September 2023

UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning

artículo científico publicado en 2024

Lista de obras de

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

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

Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era

Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset

CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation

Confidence-Aware Multi-Field Model Calibration

Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time

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

Data-free Knowledge Distillation for Reusing Recommendation Models

Debiased Recommendation with User Feature Balancing

Debiased Representation Learning in Recommendation via Information Bottleneck

DisCover: Disentangled Music Representation Learning for Cover Song Identification

EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration

EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction

FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation

FINAL: Factorized Interaction Layer for CTR Prediction

Gradient Matching for Categorical Data Distillation in CTR Prediction

Guaranteeing Accuracy and Fairness under Fluctuating User Traffic: A Bankruptcy-Inspired Re-ranking Approach

Large Scale CVR Prediction through Hierarchical History Modeling

Law Article-Enhanced Legal Case Matching: A Causal Learning Approach

LightCS: Selecting Quadratic Feature Crosses in Linear Complexity

MART: Learning Hierarchical Music Audio Representations with Part-Whole Transformer

Multimodal Pretraining and Generation for Recommendation: A Tutorial

Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey

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

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

Recommendation with Causality enhanced Natural Language Explanations

Robust Causal Inference for Recommender System to Overcome Noisy Confounders

Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking

Single-shot Feature Selection for Multi-task Recommendations

Syntactic-Informed Graph Networks for Sentence Matching

Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition

Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation

UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning