Cover Image

Causality-Aware Next Location Prediction Framework based on Human Mobility Stratification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Xiaojie, Fan, Zipei, Ge, Hangli, Michikata, Takashi, Shibasaki, Ryosuke, Koshizuka, Noboru
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events
by: Yang, Xiaojie, et al.
Published: (2024)

Time-Probability Dependent Knowledge Extraction in IoT-enabled Smart Building
by: Ge, Hangli, et al.
Published: (2024)

Deep Unfolding for MIMO Signal Detection
by: Ge, Hangli, et al.
Published: (2025)

Simulation of Emergency Evacuation in Large Scale Metropolitan Railway Systems for Urban Resilience
by: Ge, Hangli, et al.
Published: (2025)

Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation
by: Huang, Tianhao, et al.
Published: (2024)

AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction
by: Feng, Jie, et al.
Published: (2024)

Location Aware Embedding for Geotargeting in Sponsored Search Advertising
by: Gligorijevic, Jelena, et al.
Published: (2026)

Place with Intention: An Empirical Attendance Predictive Study of Expo 2025 Osaka, Kansai, Japan
by: Yang, Xiaojie, et al.
Published: (2026)

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction
by: Ge, Hangli, et al.
Published: (2024)

CASE: Cadence-Aware Set Encoding for Large-Scale Next Basket Repurchase Recommendation
by: Cao, Yanan, et al.
Published: (2026)

Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction
by: Fischer, Elisabeth, et al.
Published: (2024)

A Collaborative Ensemble Framework for CTR Prediction
by: Liu, Xiaolong, et al.
Published: (2024)

A Unified Causal Framework for Auditing Recommender Systems for Ethical Concerns
by: Sharma, Vibhhu, et al.
Published: (2024)

Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation
by: Ge, Chendi, et al.
Published: (2025)

Position-Aware Sequential Attention for Accurate Next Item Recommendations
by: Nabiev, Timur, et al.
Published: (2026)

Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty
by: Sun, Peijie, et al.
Published: (2024)

Feature Staleness Aware Incremental Learning for CTR Prediction
by: Wang, Zhikai, et al.
Published: (2025)

NextQuill: Causal Preference Modeling for Enhancing LLM Personalization
by: Zhao, Xiaoyan, et al.
Published: (2025)

Coverage, Not Averages: Semantic Stratification for Trustworthy Retrieval Evaluation
by: Klearman, Andrew, et al.
Published: (2026)

Dual-Rerank: Fusing Causality and Utility for Industrial Generative Reranking
by: Zhang, Chao, et al.
Published: (2026)

NextMem: Towards Latent Factual Memory for LLM-based Agents
by: Zhang, Zeyu, et al.
Published: (2026)

Agentic Multi-Persona Framework for Evidence-Aware Fake News Detection
by: Bukke, Roopa, et al.
Published: (2025)

Causal Predictive Optimization and Generation for Business AI
by: Zhao, Liyang, et al.
Published: (2025)

A Traffic Evacuation Model for Enhancing Resilience During Railway Disruption
by: Ge, Hangli, et al.
Published: (2025)

COFFEE: COdesign Framework for Feature Enriched Embeddings in Ads-Ranking Systems
by: Roychowdhury, Sohini, et al.
Published: (2026)

Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data
by: Hu, Binbin, et al.
Published: (2024)

CaliCausalRank: Calibrated Multi-Objective Ad Ranking with Robust Counterfactual Utility Optimization
by: Yang, Xikai, et al.
Published: (2026)

Predict Click-Through Rates with Deep Interest Network Model in E-commerce Advertising
by: Zhou, Chang, et al.
Published: (2024)

Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation
by: Wang, Jiawei, et al.
Published: (2024)

Unified Low-rank Compression Framework for Click-through Rate Prediction
by: Yu, Hao, et al.
Published: (2024)

RDSA: A Robust Deep Graph Clustering Framework via Dual Soft Assignment
by: Xiang, Yang, et al.
Published: (2024)

RSAttAE: An Information-Aware Attention-based Autoencoder Recommender System
by: Taromi, Amirhossein Dadashzadeh, et al.
Published: (2025)

Uncovering Causal Drivers of Energy Efficiency for Industrial Process in Foundry via Time-Series Causal Inference
by: Ma, Zhipeng, et al.
Published: (2025)

Beyond Long Tail POIs: Transition-Centered Generalization for Human Mobility Prediction
by: Lyu, Dingyang, et al.
Published: (2026)

SUBER: An RL Environment with Simulated Human Behavior for Recommender Systems
by: Corecco, Nathan, et al.
Published: (2024)

From Entity Reliability to Clean Feedback: An Entity-Aware Denoising Framework Beyond Interaction-Level Signals
by: Liu, Ze, et al.
Published: (2025)

In-context Contrastive Learning for Event Causality Identification
by: Liang, Chao, et al.
Published: (2024)

An Interpretable Deep-Learning Framework for Predicting Hospital Readmissions From Electronic Health Records
by: Azzalini, Fabio, et al.
Published: (2023)

RAIE: Region-Aware Incremental Preference Editing with LoRA for LLM-based Recommendation
by: Zeng, Jin, et al.
Published: (2026)

Trie-Aware Transformers for Generative Recommendation
by: Xu, Zhenxiang, et al.
Published: (2026)