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Large language models make sample-efficient recommender systems: 《Frontiers of Computer Science》2025年第4期115-117,共3页Jianghao LIN Xinyi DAI Rong SHAN Bo CHEN Ruiming TANG Yong YU Weinan ZHANG; supported by the National Natural Science Foundation of China(Grant No.62177033).; 1 Introduction Large language models(LLMs)have achieved remarkable progress in the field of natural language processing(NLP),showing impressive abilities to generate human-like texts for a broad range of tasks[1].Cons...; 关键词：recommendation tasksand recommender systemsthey recommender systems large language models large language models llms recommender sy promoting sample efficiency natural language processing nlp showing

Towards efficient and effective unlearning of large language models for recommendation: 《Frontiers of Computer Science》2025年第3期119-121,共3页Hangyu WANG Jianghao LIN Bo CHEN Yang YANG Ruiming TANG Weinan ZHANG Yong YU; supported by the National Natural Science Foundation of China(Grant No.62177033);sponsored by the Huawei Innovation Research Program.; 1 Introduction Large Language Models(LLMs)possess massive parameters and are trained on vast datasets,demonstrating exceptional proficiency in various tasks.The remarkable advancements in LLMs also inspire the explora...; 关键词：large language models llms possess user interaction data large language models instruction tuning recommendation unlearning

HyTiFRec:Hybrid Time-Frequency Dual-Branch Transformer for Sequential Recommendation: 《Computers, Materials & Continua》2025年第5期1753-1769,共17页Dawei Qiu Peng Wu Xiaoming Zhang Renjie Xu; supported by a grant from the Natural Science Foundation of Zhejiang Province under Grant LY21F010016.; Recently,many Sequential Recommendation methods adopt self-attention mechanisms to model user preferences.However,these methods tend to focus more on low-frequency information while neglecting highfrequency informatio...; 关键词：Sequential recommendation frequency domain efficient attention

A survey on cross-user federated recommendation: 《Science China(Information Sciences)》2025年第4期3-28,共26页Enyue YANG Yudi XIONG Wei YUAN Weike PAN Qiang YANG Zhong MING; supported by Basic Research Fund in Shenzhen Natural Science Foundation(Grant No.JCYJ20240813141441054);National Natural Science Foundation of China(Grant Nos.62461160311,62272315);National Key Research and Development Program of China(Grant No.2023YFF0725100)。; Recommender systems are effective in mitigating information overload,yet the centralized storage of user data raises significant privacy concerns.Cross-user federated recommendation(CUFR)provides a promising distribut...; 关键词：cross-user federated recommendation federated recommendation federated learning recommender systems user privacy

On-device diagnostic recommendation with heterogeneous federated BlockNets: 《Science China(Information Sciences)》2025年第4期29-45,共17页Minh Hieu NGUYEN Thanh Trung HUYNH Thanh Toan NGUYEN Phi Le NGUYEN Hien Thu PHAM Jun JO Thanh Tam NGUYEN; supported by ARC Discovery Early Career Researcher Award(Grant No.DE200101465);ARC DP Project(Grant No.DP240101108)。; The evolution of edge computing has advanced the accessibility of E-health recommendation services,encompassing areas such as medical consultations,prescription guidance,and diagnostic assessments.Traditional methodol...; 关键词：intelligent recommendation federated learning heterogeneous devices E-health diagnostics

Characterizing the app recommendation relationships in the iOS app store:a complex network's perspective: 《Science China(Information Sciences)》2025年第4期280-295,共16页Gang HUANG Fuqi LIN Yun MA Haoyu WANG Qingxiang WANG Gareth TYSON Xuanzhe LIU; supported in part by National Natural Science Foundation of China(Grant Nos.62325201,62102009);Beijing Outstanding Young Scientist Program(Grant No.BJJWZYJH01201910001004);Center for Data Space Technology and System,Peking University;supported in part by National Natural Science Foundation of China(Grant No.62072046)。; Mobile apps have become widely adopted in our daily lives.To facilitate app discovery,most app markets provide recommendations for users,which may significantly impact how apps are accessed.However,little has been kno...; 关键词：mobile app RECOMMENDATION complex network user behavior policy-violating app

Privacy-preserving recommendation with coarse-grained spatiotemporal contexts: 《Science China(Information Sciences)》2025年第4期62-77,共16页Lei CHEN Chen GAO Jiahuan LEI Xiaoyi DU Xinlei SHI Hengliang LUO Depeng JIN Yong LI Meng WANG; supported in part by National Natural Science Foundation of China(Grant Nos.72188101,62272262,72342032,72442026,62402077);National Key Research and Development Program of China(Grant No.2022YFB3104-702);New Cornerstone Science Foundation through the XPLORER PRIZE,China Postdoctoral Science Foundation(Grant No.2023M741943);Postdoctoral Fellowship Program of CPSF(Grant No.GZC20231373)。; The behavior of users on online life service platforms like Meituan and Yelp often occurs within specific finegrained spatiotemporal contexts(i.e.,when and where).Recommender systems,designed to serve millions of user...; 关键词：privacy-preserveing coarse-grained spatiotemporal contexts recommender systems

Short-Video Platforms'Impact on Group Psychology:A Computational Social Science Analysis: 《计算社会科学》2025年第1期54-67,共14页Aiqing WANG; This study employs causal inference methods to analyze user behavior on short-video platforms,examining how content characteristics,algorithmic recommendations,and social networks impact engagement.Using Propensity Sc...; 关键词：Short-video platforms user behavior causal inference social media information diffusion algorithmic recommendation group psychology social network analysis

Heterogeneous Spatio-Temporal Graph Contrastive Learning for Point-of-Interest Recommendation: 《Tsinghua Science and Technology》2025年第1期186-197,共12页Jiawei Liu Haihan Gao Cheng Yang Chuan Shi Tianchi Yang Hongtao Cheng Qianlong Xie Xingxing Wang Dong Wang; As one of the most crucial topics in the recommendation system field,point-of-interest(POI)recommendation aims to recommending potential interesting POIs to users.Recently,graph neural networks(GNNs)have been successf...; 关键词：point-of-interest recommendation graph neural network self-supervised learning

Analysis of Causes and Recommendations for Premature Bolting in Huarong Large Leaf Mustard: 《Plant Diseases and Pests》2025年第1期34-37,共4页Shengquan SU Shaoxiang CHEN Yunhua YAN Xu LIU Anzhong LI Daoyun GONG; Supported by Key R&D Projects of Hunan Provincial Department of Science and Technology"Study on Key Modern Processing Techniques and Product Development of Huarong Mustard"(2023NK2039).; A survey conducted on the premature bolting of Huarong large leaf mustard from 2018 to 2024 revealed that Huarong large leaf mustard sown in middle August was associated with a higher propensity for premature bolting....; 关键词：Huarong large leaf mustard Premature bolting CAUSE RECOMMENDATION

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