Image de couverture de livre

Causal Discovery in Recommender Systems: Example and Discussion

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Cavenaghi, Emanuele, Stella, Fabio, Zanker, Markus
Format:	Preprint
Publié:	2024
Sujets:	Information Retrieval Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

The Importance of Causality in Decision Making: A Perspective on Recommender Systems
par: Cavenaghi, Emanuele, et autres
Publié: (2024)

Rethinking Group Recommender Systems in the Era of Generative AI: From One-Shot Recommendations to Agentic Group Decision Support
par: Jannach, Dietmar, et autres
Publié: (2025)

Recommender Systems for Good (RS4Good): Survey of Use Cases and a Call to Action for Research that Matters
par: Jannach, Dietmar, et autres
Publié: (2024)

A Survey on Intent-aware Recommender Systems
par: Jannach, Dietmar, et autres
Publié: (2024)

Pre-trained Recommender Systems: A Causal Debiasing Perspective
par: Lin, Ziqian, et autres
Publié: (2023)

Beyond Interleaving: Causal Attention Reformulations for Generative Recommender Systems
par: Cheng, Hailing
Publié: (2026)

The Diversity Paradox revisited: Systemic Effects of Feedback Loops in Recommender Systems
par: Barlacchi, Gabriele, et autres
Publié: (2026)

On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems
par: Wang, Siyu, et autres
Publié: (2024)

Causality Enhancement for Cross-Domain Recommendation
par: Wu, Zhibo, et autres
Publié: (2025)

Causal Inspired Multi Modal Recommendation
par: Yang, Jie, et autres
Publié: (2025)

CausalRec: A CausalBoost Attention Model for Sequential Recommendation
par: Hou, Yunbo, et autres
Publié: (2025)

Causal Intervention for Fairness in Multi-behavior Recommendation
par: Wang, Xi, et autres
Publié: (2022)

Leveraging LLMs for Mental Health: Detection and Recommendations from Social Discussions
par: Aggarwal, Vaishali, et autres
Publié: (2025)

Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation
par: Zhang, Yang, et autres
Publié: (2024)

Causal Direct Preference Optimization for Distributionally Robust Generative Recommendation
par: Zhao, Chu, et autres
Publié: (2026)

CUPID: A Real-Time Session-Based Reciprocal Recommendation System for a One-on-One Social Discovery Platform
par: Kim, Beomsu, et autres
Publié: (2024)

Large Language Models for Generative Recommendation: A Survey and Visionary Discussions
par: Li, Lei, et autres
Publié: (2023)

CIDGMed: Causal Inference-Driven Medication Recommendation with Enhanced Dual-Granularity Learning
par: Liang, Shunpan, et autres
Publié: (2024)

Causally-Informed Reinforcement Learning for Adaptive Emotion-Aware Social Media Recommendation
par: Jain, Bhavika, et autres
Publié: (2025)

Diversity Recommendation via Causal Deconfounding of Co-purchase Relations and Counterfactual Exposure
par: Zhang, Jingmao, et autres
Publié: (2025)

Looking for Fairness in Recommender Systems
par: Logé, Cécile
Publié: (2025)

Towards Multi-Aspect Diversification of News Recommendations Using Neuro-Symbolic AI for Individual and Societal Benefit
par: Reiter-Haas, Markus, et autres
Publié: (2025)

Towards Empathetic Conversational Recommender Systems
par: Zhang, Xiaoyu, et autres
Publié: (2024)

Request-Only Optimization for Recommendation Systems
par: Guo, Liang, et autres
Publié: (2025)

Embedding in Recommender Systems: A Survey
par: Wang, Maolin, et autres
Publié: (2023)

Multimodal Recommender Systems: A Survey
par: Liu, Qidong, et autres
Publié: (2023)

Eliminating Out-of-Domain Recommendations in LLM-based Recommender Systems: A Unified View
par: Liao, Hao, et autres
Publié: (2025)

Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs
par: Huang, Jiani, et autres
Publié: (2025)

Recommender Systems for Sustainability: Overview and Research Issues
par: Felfernig, Alexander, et autres
Publié: (2024)

Evaluating Ensemble Methods for News Recommender Systems
par: Gray, Alexander, et autres
Publié: (2024)

LLM-Powered User Simulator for Recommender System
par: Zhang, Zijian, et autres
Publié: (2024)

Disaggregating Embedding Recommendation Systems with FlexEMR
par: Huang, Yibo, et autres
Publié: (2024)

A Survey on Diffusion Models for Recommender Systems
par: Lin, Jianghao, et autres
Publié: (2024)

Memory Assisted LLM for Personalized Recommendation System
par: Chen, Jiarui
Publié: (2025)

RecKG: Knowledge Graph for Recommender Systems
par: Kwon, Junhyuk, et autres
Publié: (2025)

Towards LLM-Enhanced Group Recommender Systems
par: Lubos, Sebastian, et autres
Publié: (2025)

Datasets for Navigating Sensitive Topics in Recommendation Systems
par: Kovacs, Amelia, et autres
Publié: (2025)

Multi-Behavior Recommender Systems: A Survey
par: Kim, Kyungho, et autres
Publié: (2025)

Knowledge Distillation Approaches for Accurate and Efficient Recommender System
par: Kang, SeongKu
Publié: (2024)

CRUISE on Quantum Computing for Feature Selection in Recommender Systems
par: Niu, Jiayang, et autres
Publié: (2024)