Imagen de Portada

CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Cruz, Francis Zac dela, Salim, Flora D., Khaokaew, Yonchanok, Chan, Jeffrey
Formato:	Preprint
Publicado:	2024
Materias:	Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems
por: Wongso, Wilson, et al.
Publicado: (2024)

TOOL4POI: A Tool-Augmented LLM Framework for Next POI Recommendation
por: Wang, Dongsheng, et al.
Publicado: (2025)

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

Redefining POI Popularity: Integrating User Preferences and Recency for Enhanced Recommendations
por: Hasan, Alif Al, et al.
Publicado: (2024)

Refine-POI: Reinforcement Fine-Tuned Large Language Models for Next Point-of-Interest Recommendation
por: Li, Peibo, et al.
Publicado: (2025)

MAS4POI: a Multi-Agents Collaboration System for Next POI Recommendation
por: Wu, Yuqian, et al.
Publicado: (2024)

Generative Next POI Recommendation with Semantic ID
por: Wang, Dongsheng, et al.
Publicado: (2025)

Harnessing Large Language Models for Group POI Recommendations
por: Long, Jing, et al.
Publicado: (2024)

GeoGR: A Generative Retrieval Framework for Spatio-Temporal Aware POI Recommendation
por: Wang, Fangye, et al.
Publicado: (2026)

CaST-POI: Candidate-Conditioned Spatiotemporal Modeling for Next POI Recommendation
por: Yu, Zhenyu, et al.
Publicado: (2026)

Evaluating and Addressing Fairness Across User Groups in Negative Sampling for Recommender Systems
por: Xuan, Yueqing, et al.
Publicado: (2023)

User and Recommender Behavior Over Time: Contextualizing Activity, Effectiveness, Diversity, and Fairness in Book Recommendation
por: Barenji, Samira Vaez, et al.
Publicado: (2025)

Enhancing POI Recommendation through Global Graph Disentanglement with POI Weighted Module
por: Li, Pei-Xuan, et al.
Publicado: (2025)

Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation
por: Long, Jing, et al.
Publicado: (2024)

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

Efficient Model-Agnostic Continual Learning for Next POI Recommendation
por: Wang, Chenhao, et al.
Publicado: (2025)

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

Ensuring User-side Fairness in Dynamic Recommender Systems
por: Yoo, Hyunsik, et al.
Publicado: (2023)

User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation
por: Du, Jing, et al.
Publicado: (2026)

RALLM-POI: Retrieval-Augmented LLM for Zero-shot Next POI Recommendation with Geographical Reranking
por: Li, Kunrong, et al.
Publicado: (2025)

MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings
por: Khaokaew, Yonchanok, et al.
Publicado: (2023)

Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation
por: Zheng, Ruiqi, et al.
Publicado: (2024)

Knowledge Graph Tokenization for Behavior-Aware Generative Next POI Recommendation
por: Sun, Ke, et al.
Publicado: (2025)

Intersectional Two-sided Fairness in Recommendation
por: Wang, Yifan, et al.
Publicado: (2024)

FAIR-MATCH: A Multi-Objective Framework for Bias Mitigation in Reciprocal Dating Recommendations
por: Kotecha, Madhav
Publicado: (2025)

Regret-aware Re-ranking for Guaranteeing Two-sided Fairness and Accuracy in Recommender Systems
por: Ye, Xiaopeng, et al.
Publicado: (2025)

Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations
por: Long, Jing, et al.
Publicado: (2024)

DecKG: Decentralized Collaborative Learning with Knowledge Graph Enhancement for POI Recommendation
por: Zheng, Ruiqi, et al.
Publicado: (2024)

Exploring the Effect of Context-Awareness and Popularity Calibration on Popularity Bias in POI Recommendations
por: Forster, Andrea, et al.
Publicado: (2025)

A Reproducibility Study of Product-side Fairness in Bundle Recommendation
por: Nguyen, Huy-Son, et al.
Publicado: (2025)

Proactive Guiding Strategy for Item-side Fairness in Interactive Recommendation
por: Xia, Chongjun, et al.
Publicado: (2026)

An Integrated Framework for Contextual Personalized LLM-Based Food Recommendation
por: Rostami, Ali
Publicado: (2025)

Geography-Aware Large Language Models for Next POI Recommendation
por: Liu, Zhao, et al.
Publicado: (2025)

FAIR: Focused Attention Is All You Need for Generative Recommendation
por: Xiao, Longtao, et al.
Publicado: (2025)

Synergistic Integration and Discrepancy Resolution of Contextualized Knowledge for Personalized Recommendation
por: Mu, Lingyu, et al.
Publicado: (2025)

FAIR-QR: Enhancing Fairness-aware Information Retrieval through Query Refinement
por: Chen, Fumian, et al.
Publicado: (2025)

HyperMAN: Hypergraph-enhanced Meta-learning Adaptive Network for Next POI Recommendation
por: Wang, Jinze, et al.
Publicado: (2025)

Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation
por: Yan, Mingshi, et al.
Publicado: (2024)

TransTARec: Time-Adaptive Translating Embedding Model for Next POI Recommendation
por: Sun, Yiping
Publicado: (2024)

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