典型文献
Accumulative Time Based Ranking Method to Reputation Evaluation in Information Networks
文献摘要：
Due to over-abundant information on the Web,information filtering becomes a key task for online users to obtain relevant suggestions and how to extract the most related item is always a key topic for researchers in various fields.In this paper,we adopt tools used to analyze complex networks to evaluate user reputation and item quality.In our proposed Accumulative Time Based Ranking(ATR)algorithm,we take into account the growth record of the network to identify the evolution of the reputation of users and the quality of items,by incorporating two behavior weighting factors which can capture the hidden facts on reputation and quality dynamics for each user and item respectively.Our proposed ATR algorithm mainly combines the iterative approach to rank user reputation and item quality with temporal dependence compared with other reputation evaluation methods.We show that our algorithm outperforms other benchmark ranking algorithms in terms of precision and robustness on empirical datasets from various online retailers and the citation datasets among research publications.Therefore,our proposed method has the capability to effectively evaluate user reputation and item quality.
文献关键词：
中图分类号：
作者姓名：
Hao Liao;Qi-Xin Liu;Ze-Cheng Huang;Ke-Zhong Lu;Chi Ho Yeung;Yi-Cheng Zhang
作者机构：
National Engineering Laboratory on Big Data System Computing Technology,College of Computer Science and Software Engineering,Shenzhen University,Shenzhen 518060,China;Guangdong Province Key Laboratory of Popular High Performance Computers,Shenzhen University Shenzhen 518060,China;Guangdong Province Engineering Center of China-Made High Performance Data Computing System,College of Computer Science and Software Engineering,Shenzhen University,Shenzhen 518060,China;Institute of Big Data Intelligent Management and Decision,Shenzhen University,Shenzhen 518060,China;Department of Science and Environmental Studies,The Education University of Hong Kong,Hong Kong 999077,China;Department of Physics,University of Fribourg,Fribourg 1700,Switzerland
文献出处：
引用格式：
[1]Hao Liao;Qi-Xin Liu;Ze-Cheng Huang;Ke-Zhong Lu;Chi Ho Yeung;Yi-Cheng Zhang-.Accumulative Time Based Ranking Method to Reputation Evaluation in Information Networks)[J].计算机科学技术学报（英文版）,2022(04):960-974
A类：
Reputation
B类：
Accumulative,Time,Based,Ranking,Method,Evaluation,Information,Networks,Due,over,abundant,information,filtering,becomes,key,task,online,users,obtain,relevant,suggestions,extract,most,related,always,topic,researchers,various,fields,this,paper,adopt,tools,used,analyze,complex,networks,evaluate,reputation,quality,our,proposed,ATR,take,into,account,growth,record,identify,evolution,items,by,incorporating,behavior,weighting,factors,which,can,capture,hidden,facts,dynamics,each,respectively,Our,mainly,combines,iterative,approach,temporal,dependence,compared,other,evaluation,methods,show,that,outperforms,benchmark,ranking,algorithms,terms,precision,robustness,empirical,datasets,from,retailers,citation,among,publications,Therefore,has,capability,effectively
AB值：
0.560934
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