Academic event recommendation based on research similarity and exploring interaction between authors
作者： Dinh Tuyen Hoang , Dosam Hwang , Van Cuong Tran , Van Du Nguyen , Ngoc Thanh Nguyen
关键词: The Internet 、 Recommender system 、 Computer science 、 XML 、 Attendance 、 Similarity (psychology) 、 Measure (data warehouse) 、 World Wide Web 、 Information retrieval 、 Event (computing)
摘要: In this study, a new academic event recommendation method is proposed. This analyzes author interactions, attendance records, research related, and textual descriptions from attended events to measure interaction strength between authors. Experiments on the DBLP dataset Wiki Calls for Papers (WikiCFP) showed that proposed helpful in improving accuracy of system comparison with other methods. addition, can be applied various recommended tasks such as collaboration recommendation, papers etc.
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