Copertina

Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Haoxuan, Zheng, Chunyuan, Ding, Sihao, Wu, Peng, Geng, Zhi, Feng, Fuli, He, Xiangnan
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Debiased Collaborative Filtering with Kernel-Based Causal Balancing
di: Li, Haoxuan, et al.
Pubblicazione: (2024)

Debiased Recommendation with Noisy Feedback
di: Li, Haoxuan, et al.
Pubblicazione: (2024)

Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation
di: Shi, Wentao, et al.
Pubblicazione: (2024)

Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach
di: Shi, Tianhao, et al.
Pubblicazione: (2024)

Understanding and Counteracting Feature-Level Bias in Click-Through Rate Prediction
di: Jin, Jinqiu, et al.
Pubblicazione: (2024)

Large Language Models are Learnable Planners for Long-Term Recommendation
di: Shi, Wentao, et al.
Pubblicazione: (2024)

BiCoRec: Bias-Mitigated Context-Aware Sequential Recommendation Model
di: Muthivhi, Mufhumudzi, et al.
Pubblicazione: (2025)

Mitigating Hidden Confounding Effects for Causal Recommendation
di: Zhu, Xinyuan, et al.
Pubblicazione: (2022)

TranSUN: A Preemptive Paradigm to Eradicate Retransformation Bias Intrinsically from Regression Models in Recommender Systems
di: Yu, Jiahao, et al.
Pubblicazione: (2025)

Neighborhood Stability as a Measure of Nearest Neighbor Searchability
di: Vecchiato, Thomas, et al.
Pubblicazione: (2026)

Algorithm Adaptation Bias in Recommendation System Online Experiments
di: Zheng, Chen, et al.
Pubblicazione: (2025)

Boosting Parameter Efficiency in LLM-Based Recommendation through Sophisticated Pruning
di: Zheng, Shanle, et al.
Pubblicazione: (2025)

Diffusion Models for Generative Outfit Recommendation
di: Xu, Yiyan, et al.
Pubblicazione: (2024)

Proactive Recommendation with Iterative Preference Guidance
di: Bi, Shuxian, et al.
Pubblicazione: (2024)

Trie-Aware Transformers for Generative Recommendation
di: Xu, Zhenxiang, et al.
Pubblicazione: (2026)

Exact and Efficient Unlearning for Large Language Model-based Recommendation
di: Hu, Zhiyu, et al.
Pubblicazione: (2024)

Generative Multi-Target Cross-Domain Recommendation
di: Jin, Jinqiu, et al.
Pubblicazione: (2025)

CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation
di: Zhang, Yang, et al.
Pubblicazione: (2023)

Towards 3D Molecule-Text Interpretation in Language Models
di: Li, Sihang, et al.
Pubblicazione: (2024)

Diffusion Recommender Model
di: Wang, Wenjie, et al.
Pubblicazione: (2023)

Bidding-Aware Retrieval for Multi-Stage Consistency in Online Advertising
di: Liu, Bin, et al.
Pubblicazione: (2025)

FAiT: Frequency-Aware Inverted Transformer for Multivariate Time Series Forecasting
di: He, Peng, et al.
Pubblicazione: (2026)

Citywide Electric Vehicle Charging Demand Prediction Approach Considering Urban Region and Dynamic Influences
di: Kuang, Haoxuan, et al.
Pubblicazione: (2024)

Generative Recommendation: Towards Next-generation Recommender Paradigm
di: Wang, Wenjie, et al.
Pubblicazione: (2023)

Towards Sample-Efficient and Stable Reinforcement Learning for LLM-based Recommendation
di: Ding, Hongxun, et al.
Pubblicazione: (2026)

IntOPE: Off-Policy Evaluation in the Presence of Interference
di: Bai, Yuqi, et al.
Pubblicazione: (2024)

Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation
di: Wang, Shuyao, et al.
Pubblicazione: (2024)

CASP: Support-Aware Offline Policy Selection for Two-Stage Recommender Systems
di: Chapagain, Nilson
Pubblicazione: (2026)

Bypassing the Popularity Bias: Repurposing Models for Better Long-Tail Recommendation
di: Blahut, Václav, et al.
Pubblicazione: (2024)

Proactive Recommendation in Social Networks: Steering User Interest with Causal Inference
di: Pan, Hang, et al.
Pubblicazione: (2024)

Fine-grained Alignment of Large Language Models for General Medication Recommendation without Overprescription
di: Zhao, Zihao, et al.
Pubblicazione: (2025)

Evaluating Performance and Bias of Negative Sampling in Large-Scale Sequential Recommendation Models
di: Prakash, Arushi, et al.
Pubblicazione: (2024)

Item-side Fairness of Large Language Model-based Recommendation System
di: Jiang, Meng, et al.
Pubblicazione: (2024)

End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling
di: Sun, Zexu, et al.
Pubblicazione: (2024)

Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems
di: Shi, Tianhao, et al.
Pubblicazione: (2023)

Reason4Rec: Large Language Models for Recommendation with Deliberative User Preference Alignment
di: Fang, Yi, et al.
Pubblicazione: (2025)

Uncertainty-aware Generative Recommendation
di: Fan, Chenxiao, et al.
Pubblicazione: (2026)

Measuring Recency Bias In Sequential Recommendation Systems
di: Oh, Jeonglyul, et al.
Pubblicazione: (2024)

Reducing Popularity Influence by Addressing Position Bias
di: Dzhoha, Andrii, et al.
Pubblicazione: (2024)

Adaptive Conditional Expert Selection Network for Multi-domain Recommendation
di: Dong, Kuiyao, et al.
Pubblicazione: (2024)