Copertina

Active Large Language Model-based Knowledge Distillation for Session-based Recommendation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Du, Yingpeng, Sun, Zhu, Wang, Ziyan, Chua, Haoyan, Zhang, Jie, Ong, Yew-Soon
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Information Retrieval Machine Learning H.4
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

LLM-Driven Dual-Level Multi-Interest Modeling for Recommendation
di: Wang, Ziyan, et al.
Pubblicazione: (2025)

Routing Distilled Knowledge via Mixture of LoRA Experts for Large Language Model based Bundle Generation
di: Feng, Kaidong, et al.
Pubblicazione: (2025)

A Simple Yet Effective Approach for Diversified Session-Based Recommendation
di: Yin, Qing, et al.
Pubblicazione: (2024)

Building an Explainable Graph-based Biomedical Paper Recommendation System (Technical Report)
di: Kroll, Hermann, et al.
Pubblicazione: (2024)

MRP-LLM: Multitask Reflective Large Language Models for Privacy-Preserving Next POI Recommendation
di: Wu, Ziqing, et al.
Pubblicazione: (2024)

DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation
di: Sun, Zhu, et al.
Pubblicazione: (2022)

Distilling Transitional Pattern to Large Language Models for Multimodal Session-based Recommendation
di: Su, Jiajie, et al.
Pubblicazione: (2025)

Privacy Preserving Conversion Modeling in Data Clean Room
di: Li, Kungang, et al.
Pubblicazione: (2025)

How to Surprisingly Consider Recommendations? A Knowledge-Graph-based Approach Relying on Complex Network Metrics
di: Baumann, Oliver, et al.
Pubblicazione: (2024)

Shilling Recommender Systems by Generating Side-feature-aware Fake User Profiles
di: Wang, Yuanrong, et al.
Pubblicazione: (2025)

Think When Needed: Model-Aware Reasoning Routing for LLM-based Ranking
di: Guo, Huizhong, et al.
Pubblicazione: (2026)

Context-Adaptive Graph Neural Networks for Next POI Recommendation
di: Lei, Yu, et al.
Pubblicazione: (2025)

A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals
di: Sun, Zhu, et al.
Pubblicazione: (2022)

Adaptive In-Context Learning with Large Language Models for Bundle Generation
di: Sun, Zhu, et al.
Pubblicazione: (2023)

Enriching Semantic Profiles into Knowledge Graph for Recommender Systems Using Large Language Models
di: Ahn, Seokho, et al.
Pubblicazione: (2026)

FastPFRec: A Fast Personalized Federated Recommendation with Secure Sharing
di: Yan, Zhenxing, et al.
Pubblicazione: (2026)

Transforming Podcast Preview Generation: From Expert Models to LLM-Based Systems
di: Zhu, Winstead, et al.
Pubblicazione: (2025)

Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation
di: Wang, Ziyan, et al.
Pubblicazione: (2024)

Does Knowledge Distillation Matter for Large Language Model based Bundle Generation?
di: Feng, Kaidong, et al.
Pubblicazione: (2025)

Ranking Narrative Query Graphs for Biomedical Document Retrieval (Technical Report)
di: Kroll, Hermann, et al.
Pubblicazione: (2024)

Large Language Model Distilling Medication Recommendation Model
di: Liu, Qidong, et al.
Pubblicazione: (2024)

Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation
di: Li, Li, et al.
Pubblicazione: (2024)

Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective
di: Zhu, Zhangchi, et al.
Pubblicazione: (2024)

Integrating Large Language Models with Graphical Session-Based Recommendation
di: Guo, Naicheng, et al.
Pubblicazione: (2024)

SemSR: Semantics aware robust Session-based Recommendations
di: Narwariya, Jyoti, et al.
Pubblicazione: (2025)

Beyond Static Calibration: The Impact of User Preference Dynamics on Calibrated Recommendation
di: Lin, Kun, et al.
Pubblicazione: (2024)

Knowledge Graph-based Session Recommendation with Adaptive Propagation
di: Wang, Yu, et al.
Pubblicazione: (2024)

Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation
di: Feng, Shanshan, et al.
Pubblicazione: (2024)

Explaining Group Recommendations via Counterfactuals
di: Stratigi, Maria, et al.
Pubblicazione: (2026)

Linear Item-Item Model with Neural Knowledge for Session-based Recommendation
di: Choi, Minjin, et al.
Pubblicazione: (2025)

HONEYBEE: Efficient Role-based Access Control for Vector Databases via Dynamic Partitioning[Technical Report]
di: Zhong, Hongbin, et al.
Pubblicazione: (2025)

SPGL: Enhancing Session-based Recommendation with Single Positive Graph Learning
di: Liang, Tiantian, et al.
Pubblicazione: (2024)

Diagnosing LLM-based Rerankers in Cold-Start Recommender Systems: Coverage, Exposure and Practical Mitigations
di: Lemdiasova, Ekaterina, et al.
Pubblicazione: (2026)

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation
di: Zhang, Yang, et al.
Pubblicazione: (2024)

Explainable Enrichment-Driven GrAph Reasoner (EDGAR) for Large Knowledge Graphs with Applications in Drug Repurposing
di: Olasunkanmi, Olawumi, et al.
Pubblicazione: (2024)

Common Sense Enhanced Knowledge-based Recommendation with Large Language Model
di: Yang, Shenghao, et al.
Pubblicazione: (2024)

Federated Continual Recommendation
di: Lim, Jaehyung, et al.
Pubblicazione: (2025)

Multi-Graph Co-Training for Capturing User Intent in Session-based Recommendation
di: Yang, Zhe, et al.
Pubblicazione: (2024)

SR-PredictAO: Session-based Recommendation with High-Capability Predictor Add-On
di: Wang, Ruida, et al.
Pubblicazione: (2023)

MMGRid: Navigating Temporal-aware and Cross-domain Generative Recommendation via Model Merging
di: Wei, Tianjun, et al.
Pubblicazione: (2026)