Copertina

Leveraging LLMs for Influence Path Planning in Proactive Recommendation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Mingze, Bi, Shuxian, Wang, Wenjie, Gao, Chongming, Li, Yangyang, Feng, Fuli
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

Breaking User-Centric Agency: A Tri-Party Framework for Agent-Based Recommendation
di: Gong, Yaxin, et al.
Pubblicazione: (2026)

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

Navigating Through Paper Flood: Advancing LLM-based Paper Evaluation through Domain-Aware Retrieval and Latent Reasoning
di: Zheng, Wuqiang, et al.
Pubblicazione: (2025)

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

MGFRec: Towards Reinforced Reasoning Recommendation with Multiple Groundings and Feedback
di: Cai, Shihao, et al.
Pubblicazione: (2025)

Agentic Feedback Loop Modeling Improves Recommendation and User Simulation
di: Cai, Shihao, et al.
Pubblicazione: (2024)

Treatment Effect Estimation for User Interest Exploration on Recommender Systems
di: Chen, Jiaju, et al.
Pubblicazione: (2024)

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

Mitigating Spurious Correlations for Self-supervised Recommendation
di: Lin, Xinyu, et al.
Pubblicazione: (2022)

Recommendation Unlearning via Influence Function
di: Zhang, Yang, et al.
Pubblicazione: (2023)

Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation
di: Wang, Chengbing, et al.
Pubblicazione: (2024)

Sequence-aware Large Language Models for Explainable Recommendation
di: Zhang, Gangyi, et al.
Pubblicazione: (2026)

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

Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation
di: Wang, Chengbing, et al.
Pubblicazione: (2024)

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

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
di: Lin, Xinyu, et al.
Pubblicazione: (2023)

Uplift Modeling for Target User Attacks on Recommender Systems
di: Wang, Wenjie, et al.
Pubblicazione: (2024)

Denoising Diffusion Recommender Model
di: Zhao, Jujia, et al.
Pubblicazione: (2024)

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

Position-aware Graph Transformer for Recommendation
di: Chen, Jiajia, et al.
Pubblicazione: (2024)

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

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges
di: Wang, Bohao, et al.
Pubblicazione: (2026)

Data-efficient Fine-tuning for LLM-based Recommendation
di: Lin, Xinyu, et al.
Pubblicazione: (2024)

Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation
di: Lin, Xinyu, et al.
Pubblicazione: (2023)

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

Causal Intervention for Fairness in Multi-behavior Recommendation
di: Wang, Xi, et al.
Pubblicazione: (2022)

K-order Ranking Preference Optimization for Large Language Models
di: Cai, Shihao, et al.
Pubblicazione: (2025)

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

Heterogeneous User Modeling for LLM-based Recommendation
di: Bao, Honghui, et al.
Pubblicazione: (2025)

Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning
di: Bao, Keqin, et al.
Pubblicazione: (2024)

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

Don't Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs
di: Zhao, Ziyi, et al.
Pubblicazione: (2026)

Reinforced Prompt Personalization for Recommendation with Large Language Models
di: Mao, Wenyu, et al.
Pubblicazione: (2024)

Reformulating Conversational Recommender Systems as Tri-Phase Offline Policy Learning
di: Zhang, Gangyi, et al.
Pubblicazione: (2024)

Order-agnostic Identifier for Large Language Model-based Generative Recommendation
di: Lin, Xinyu, et al.
Pubblicazione: (2025)

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

Learnable Item Tokenization for Generative Recommendation
di: Wang, Wenjie, et al.
Pubblicazione: (2024)

Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking
di: Lin, Xinyu, et al.
Pubblicazione: (2026)