PERSONALIZED

作品数：385被引量：642H指数：11
导出分析报告
相关领域：自动化与计算机技术更多>>
相关作者：丁栋虹李前兵李超陈红李翠平更多>>
相关机构：华中师范大学中国人民大学中国农业大学河北工业大学更多>>
相关期刊：更多>>
相关基金：国家自然科学基金国家重点基础研究发展计划国家教育部博士点基金国家高技术研究发展计划更多>>
-
在结果中检索

检索结果分析

结果分析中...
选择条件：
  • 期刊=Frontiers of Computer Sciencex
共 条 记 录，以下是1-9
全选清除导出
参考文献引证文献引用追踪
视图：
排序：
A lock-free approach to parallelizing personalized PageRank computations on GPU
《Frontiers of Computer Science》2023年第1期219-220,共2页Zhigang WANG Ning WANG Jie NIE Zhiqiang WEI Yu GU Ge YU 
supported by the National Natural Science Foundation of China(Grant Nos.61902366 and 61902365);the Fundamental Research Funds for the Central Universities(202042008);the CCF-Huawei Innovation Research Plan,the Project funded by China Postdoctoral Science Foundation(2020T130623);the Qingdao Independent Innovation Major Project(20-3-2-12-xx).
1 Introduction Personalized PageRank(PPR)is a classic topology-based proximity measure and it is most widely computed by Forward Push.That is,given a starting vertex in graph,it iteratively computes the importance sco...
关键词：PAGERANK GPU PUSH 
CrowdDesigner:information-rich and personalized product description generation
《Frontiers of Computer Science》2022年第6期183-185,共3页Qiuyun ZHANG Bin GUO Sicong LIU Jiaqi LIU Zhiwen YU 
supported by the National Key RD Program of China (2019QY0600);the National Science Fund for Distinguished Young Scholars (62025205);the National Natural Science Foundation of China (Grant Nos.62032020,61960206008,62102317,62002292);the Natural Science Basic Research Plan in Shaanxi Province of China (2020JQ-207).
1 Introduction Withthe rapid development of the E-commerce,more consumers turn to shop online.When online shoppers search for products using keywords,the related products appear with their brief descriptions.We conduc...
关键词：ATTRACTIVE DESIGNER SPEND 
Exploiting user behavior learning for personalized trajectory recommendations
《Frontiers of Computer Science》2022年第3期141-152,共12页Xiao PAN Lei WU Fenjie LONG Ang MA 
This work was partially supported by the grant from the Natural Science Foundation of Hebei Province(F2021210005);the Hebei Province Innovation Capability Improvement Plan(21550803D);the Outstanding Youth Foundation of Hebei Education Department(BJ2021085);the Fourth Outstanding Youth Foundation of Shijiazhuang Tiedao University,and Training Project for Improving Students of Scientific and Technological Innovation Ability for College and Middle School(DXS202106);Scientific Research Project from China Railway Corporation(2020F026).
With increasing popularity of mobile devices and flourish of social networks,a large number of trajectory data is accumulated.Trajectory data contains a wealth of information,including spatiality,time series,and other...
关键词：trajectory recommendation big trajectory data trajectory computing geo-social networks 
Mean estimation over numeric data with personalized local differential privacy被引量：2
《Frontiers of Computer Science》2022年第3期183-192,共10页Qiao XUE Youwen ZHU Jian WANG 
the National Key Research and Development Program of China(2020YFB1005900);the Research Fund of Guangxi Key Laboratory of Trusted Software(kx202034);the Team Project of Collaborative Innovation in Universities of Gansu Province(2017C-16);Collaborative Innovation Center of Novel Software Technology and Industrialization.
The fast development of the Internet and mobile devices results in a crowdsensing business model,where individuals(users)are willing to contribute their data to help the institution(data collector)analyze and release ...
关键词：personalized local differential privacy mean estimation crowdsensing model 
Personalized microblog recommendations based on trustpropagation and implicit microblog similarity
《Frontiers of Computer Science》2021年第4期215-216,共2页Elham MAZINAN Hassan NADERI Mitra MIRZAREZAEE Saber SAATI 
This work was supported by Science and Research Branch,Islamic Azad University,Tehran,Iran.
1 Introduction and main contributions Everyone knows about the effectiveness of microblog social recommender systems,such as Twitter,in sharing information[1–3]One of the challenges posed by social recommender system...
关键词：SIMILARITY offering SPITE 
Personalized query suggestion diversification in information retrieval
《Frontiers of Computer Science》2020年第3期129-141,共13页Wanyu CHEN Fei CAI Honghui CHEN Maarten DE RIJKE 
supported by the National Natural Science Foundation of China(Grant No.61702526);the National Advanced Research Project(6141B0801010b)。
Query suggestions help users refine their queries after they input an initial query.Previous work on query suggestion has mainly concentrated on approaches that are similarity-based or context-based,developing models ...
关键词：query suggestion PERSONALIZATION query suggestion diversification 
Protecting personalized privacy against sensitivity homogeneity attacks over road networks in mobile services被引量：5
《Frontiers of Computer Science》2016年第2期370-386,共17页Xiao PAN Weizhang CHEN Lei WU Chunhui PIAO Zhaojun HU 
Privacy preservation has recently received considerable attention for location-based mobile services. A lot of location cloaking approaches focus on identity and location protection, but few algorithms pay attention t...
关键词：query semantics sensitive information privacy protection road networks location based services 
Accuracy estimation of link-based similarity measures and its application被引量：1
《Frontiers of Computer Science》2016年第1期113-123,共11页Yinglong ZHANG Cuiping LI Chengwang XIE Hong CHEN 
Link-based similarity measures play a significant role in many graph based applications. Consequently, mea- suring node similarity in a graph is a fundamental problem of graph data mining. Personalized PageRank （PPR...
关键词：personalized PageRank SIMRANK P-RANK up-per bound 
Combining long-term and short-term user interest for personalized hashtag recommendation被引量：9
《Frontiers of Computer Science》2015年第4期608-622,共15页Jianjun YU Tongyu ZHU 
Hashtags, terms prefixed by a hash-symbol #, are widely used and inserted anywhere within short messages （tweets） on micro-blogging systems as they present rich sen- timent information on topics that people are inte...
关键词：RECOMMENDATION hashtag time-sensitive userinterest 
全选清除导出
共1页<1>
检索报告 对象比较 聚类工具 使用帮助 返回顶部