Personalized Route Recommendation (PRR) aims to generate user-specific route suggestions in response to users' route queries. Early studies cast the PRR task as a pathfinding problem on graphs, and adopt adapted search algorithms by integrating heuristic strategies. Although these methods are effective to some extent, they require setting the cost functions with heuristics. In addition, it is difficult to utilize useful context information in the search procedure. To address these issues, we propose using neural networks to automatically learn the cost functions of a classic heuristic algorithm, namely A* algorithm, for the PRR task. Our model consists of two components. First, we employ attention-based Recurrent Neural Networks (RNN) to model the cost from the source to the candidate location by incorporating useful context information. Instead of learning a single cost value, the RNN component is able to learn a time-varying vectorized representation for the moving state of a user. Second, we propose to use a value network for estimating the cost from a candidate location to the destination. For capturing structural characteristics, the value network is built on top of improved graph attention networks by incorporating the moving state of a user and other context information. The two components are integrated in a principled way for deriving a more accurate cost of a candidate location. Extensive experiment results on three real-world datasets have shown the effectiveness and robustness of the proposed model.
Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation
The University of Hong Kong（香港大学）；Simon Fraser University（西蒙菲莎大学）；University of California, Los Angeles（加州大学洛杉矶分校）；Dartmouth College（达特茅斯学院）；University of Maryland, Baltimore County（马里兰大学巴尔的摩县分校）；Tencent（腾讯）
Personalized Federated Sparse Adaptation of Time-Series Foundation Models
Robert Bosch Centre for Cyber-Physical Systems, Indian Institute of Science（罗伯特·博世网络物理系统中心，印度科学学院）；School of Computing, Newcastle University（纽卡斯尔大学计算学院）
Empowering recommender systems using automatically generated Knowledge Graphs and Reinforcement Learning
Insight Research Ireland Centre for Data Analytics, Data Science Institute, University of Galway（爱尔兰高威大学数据科学研究所Insight爱尔兰数据分析研究中心）；Fidelity Investments（富达投资）
Puda: Private User Dataset Agent for User-Sovereign and Privacy-Preserving Personalized AI
Research Institute of Advanced Technology, SoftBank Corp.（软银公司先进科技研究所）；Turnt Up Technologies, Inc.（Turnt Up技术公司）；TechArts Co., Ltd.（TechArts公司）；Acutus Software, Inc.（Acutus软件公司）
Reinforcement Learning-based Sequential Route Recommendation for System-Optimal Traffic Assignment
Department of Data Science and Artificial Intelligence, Monash University（墨尔本大学数据科学与人工智能系）；Chair of Transportation Systems Engineering, Technical University of Munich（慕尼黑技术大学交通系统工程教授职位）；Department of Civil and Architectural Engineering, KTH Royal Institute of Technology（瑞典皇家理工学院土木与建筑工程系）
PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments
University of Science and Technology of China（中国科学技术大学）；City University of Hong Kong（香港城市大学）；Northeastern University（东北大学）；MemTensor (Shanghai) Technology Co., Ltd.（MemTensor（上海）科技有限公司）
ChatPlanner: A Large Language Model Framework for Personalized Public Transit Routing
School of Engineering and Materials Science, Queen Mary University of London（伦敦玛丽女王大学工程与材料科学学院）；Department of Engineering Science, University of Oxford（牛津大学工程科学系）
Beyond Shortest Path: Agentic Vehicular Routing with Semantic Context
Institute of Computing (IC)（计算学院）；Hub de Inteligência Artificial e Arquiteturas Cognitivas (H.IAAC)（人工智能与认知架构中心）；Universidade Estadual de Campinas (UNICAMP)（坎皮纳斯州立大学）
Beyond Task-Only Matching: Personalized Skill Routing with Counterfactual Evaluation
School of Computer Science and Engineering, Southeast University（东南大学计算机科学与工程学院）；College of Software Engineering, Southeast University（东南大学软件学院）；Department of Computer Science and Engineering, The Chinese University of Hong Kong（香港中文大学计算机科学与工程学系）；Department of Computer Science, City University of Hong Kong（香港城市大学计算机科学系）
Recall Isn't Enough: Bounding Commitments in Personalized Language Systems
OpenAsk；Stern School of Business, New York University（纽约大学 Stern 学院）；Bank of Hebei（河北银行）；Lingnan College, Sun Yat-sen University（中山大学 Lingnan 学院）；School of Economics, Xiamen University（厦门大学 经济学院）；BitMart；Binance
Cooperative Edge Caching Based on Elastic Federated and Multi-Agent Deep Reinforcement Learning in Next-Generation Network
School of Internet of Things Engineering, Jiangnan University（江南大学物联网工程学院）；State Key Laboratory of Integrated Services Networks (Xidian University)（西安电子科技大学综合业务网理论及关键技术国家重点实验室）；Qualcomm（高通公司）；School of Engineering, University of Kent（肯特大学工程学院）；School of Engineering, Hong Kong University of Science and Technology（香港科技大学工程学院）
