[学术报告]2012.7.17:澳大利亚国立大学梁慧芝博士作关于推荐系统的学术报告

题目: User profiling based on folksonomy information in Web 2.0 for personalized recommender systems

 

摘要: This thesis proposed novel approaches to use the emerging user information in Web 2.0 to help users solve the information overload issue. The user created content description and classification information–Folksonomy was used to find users’ interests. Based on users’ interest profiles, personalized recommendations can be generated for each user. This thesis contributes to effectively use the wisdom of crowds to provide more accurate user profiling and recommendation approaches.

 

时间:2012年7月17日15:00

 

地点:阿里巴巴商学院111

 

报 告人简介:Dr. Huizhi Liang, research fellow in Australian National University. She earned her PhD degree in Queensland University of Technology, Australia in 2011. Her Research interests include data mining and data matching, Recommender Systems and Web 2.0.