Image de couverture de livre

Fidelity-Aware Recommendation Explanations via Stochastic Path Integration

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Barkan, Oren, Schein, Yahlly, Elisha, Yehonatan, Bogina, Veronika, Baklanov, Mikhail, Koenigstein, Noam
Format:	Preprint
Publié:	2025
Sujets:	Information Retrieval Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Extracting Interaction-Aware Monosemantic Concepts in Recommender Systems
par: Arviv, Dor, et autres
Publié: (2025)

BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation
par: Barkan, Oren, et autres
Publié: (2024)

Concept-Guided Fine-Tuning: Steering ViTs away from Spurious Correlations to Improve Robustness
par: Elisha, Yehonatan, et autres
Publié: (2026)

Rethinking Saliency Maps: A Cognitive Human Aligned Taxonomy and Evaluation Framework for Explanations
par: Elisha, Yehonatan, et autres
Publié: (2025)

Comparative Explanations via Counterfactual Reasoning in Recommendations
par: Yu, Yi, et autres
Publié: (2025)

Impression-Aware Recommender Systems
par: Maurera, Fernando B. Pérez, et autres
Publié: (2023)

PathGPT: Reframing Path Recommendation as a Natural Language Generation Task with Retrieval-Augmented Language Models
par: Marcelyn, Steeve Cuthbert, et autres
Publié: (2025)

Faithful Path Language Modeling for Explainable Recommendation over Knowledge Graph
par: Balloccu, Giacomo, et autres
Publié: (2023)

Explaining the (Not So) Obvious: Simple and Fast Explanation of STAN, a Next Point of Interest Recommendation System
par: Yunus, Fajrian, et autres
Publié: (2024)

The Problem of Coherence in Natural Language Explanations of Recommendations
par: Raczyński, Jakub, et autres
Publié: (2023)

Enhancing Learning Path Recommendation via Multi-task Learning
par: Nasrin, Afsana, et autres
Publié: (2025)

Explainable Session-based Recommendation via Path Reasoning
par: Cao, Yang, et autres
Publié: (2024)

Evaluating Podcast Recommendations with Profile-Aware LLM-as-a-Judge
par: Fabbri, Francesco, et autres
Publié: (2025)

Position-Aware Sequential Attention for Accurate Next Item Recommendations
par: Nabiev, Timur, et autres
Publié: (2026)

Session-based Recommender Systems: User Interest as a Stochastic Process in the Latent Space
par: Balcer, Klaudia, et autres
Publié: (2025)

SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation
par: Lee, Chaejeong, et autres
Publié: (2024)

PRISM: Purified Representation and Integrated Semantic Modeling for Generative Sequential Recommendation
par: Fang, Dengzhao, et autres
Publié: (2026)

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models
par: Yang, Weiqin, et autres
Publié: (2026)

The Oracle and The Prism: A Decoupled and Efficient Framework for Generative Recommendation Explanation
par: Zhang, Jiaheng, et autres
Publié: (2025)

LLM-Powered Explanations: Unraveling Recommendations Through Subgraph Reasoning
par: Shi, Guangsi, et autres
Publié: (2024)

RAGXplain: From Explainable Evaluation to Actionable Guidance of RAG Pipelines
par: Cohen, Dvir, et autres
Publié: (2025)

From Individual to Group: Developing a Context-Aware Multi-Criteria Group Recommender System
par: Le, Ngoc Luyen, et autres
Publié: (2025)

Not All Candidates are Created Equal: A Heterogeneity-Aware Approach to Pre-ranking in Recommender Systems
par: Tong, Pengfei, et autres
Publié: (2026)

BRIDGE: Bundle Recommendation via Instruction-Driven Generation
par: Bui, Tuan-Nghia, et autres
Publié: (2024)

Towards Trustworthy LLM-Based Recommendation via Rationale Integration
par: Park, Chung, et autres
Publié: (2025)

DKINet: Medication Recommendation via Domain Knowledge Informed Deep Learning
par: Liu, Sicen, et autres
Publié: (2023)

LiMAML: Personalization of Deep Recommender Models via Meta Learning
par: Wang, Ruofan, et autres
Publié: (2024)

Sequential Recommendation via Adaptive Robust Attention with Multi-dimensional Embeddings
par: Pang, Linsey, et autres
Publié: (2024)

Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement
par: Du, Jing, et autres
Publié: (2024)

TRACE: A Conversational Framework for Sustainable Tourism Recommendation with Agentic Counterfactual Explanations
par: Banerjee, Ashmi, et autres
Publié: (2026)

TME-PSR: Time-aware, Multi-interest, and Explanation Personalization for Sequential Recommendation
par: Wang, Qingzhuo, et autres
Publié: (2026)

Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation
par: Huang, Tianhao, et autres
Publié: (2024)

Epistemic Uncertainty-aware Recommendation Systems via Bayesian Deep Ensemble Learning
par: Cheraghi, Radin, et autres
Publié: (2025)

Movie Recommendation with Poster Attention via Multi-modal Transformer Feature Fusion
par: Xia, Linhan, et autres
Publié: (2024)

Unveiling and Mitigating Bias in Large Language Model Recommendations: A Path to Fairness
par: Das, Anindya Bijoy, et autres
Publié: (2024)

Combining Embedding-Based and Semantic-Based Models for Post-hoc Explanations in Recommender Systems
par: Le, Ngoc Luyen, et autres
Publié: (2024)

EviSnap: Faithful Evidence-Cited Explanations for Cold-Start Cross-Domain Recommendation
par: Dai, Yingjun, et autres
Publié: (2026)

ReasoningRec: Bridging Personalized Recommendations and Human-Interpretable Explanations through LLM Reasoning
par: Bismay, Millennium, et autres
Publié: (2024)

Joint Group Profiling and Recommendation via Deep Neural Network-based Multi-Task Learning
par: Le, Ngoc Luyen, et autres
Publié: (2025)

Uncertainty-aware Generative Learning Path Recommendation with Cognition-Adaptive Diffusion
par: Xiong, Xiangrui, et autres
Publié: (2026)