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Authority-based approach for advisor mining and individual recommendation

Wang Zhe1,Tang Jie1,Gong Jibing2,Yang Wenjun3(1.Department of Computer Science and Technology,Tsinghua University,Beijing 100084,China;2.Department of Computer Science and Engineering,Yanshan University,Qinhuangdao,Hebei 066004,China;3.Information Center,Planning and Engineering Institute Petrochina Corp.Ltd,Beijing 100083,China)  
We mine advisor-advisee relations based on data of Arnetminer,an academic search engine.Furthermore,we make individual recommendations combining user's information.This paper concentrates on calculating two values,authority scores and success rates.We separately build a recommendation model based on authority scores and a recommendation model based on success rates.The application of the paper is practically applied in Arnetminer,and collects user feedback to increase the accuracy of advisor-advisee relation mining and improve two recommendation models' quality.
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