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学术报告-Context acquisition and embedding for recommendation

来源:计算机科学与技术学院作者: 发布时间:2018-01-09 浏览次数:76

中国矿业大学学术报告

  

Title: Context acquisition and embedding for recommendation

Abstract: Contextual factors can benefit music recommendation and retrieval tasks remarkably. However, how to acquire and utilize the contextual information is still challenging. In this talk, we propose our study on deriving and embedding context factors into music recommendation by leveraging emotion from social media and listening sequence, which can improve music recommendation substantially. Experiment results have justified our finding.

报告时间:19日下午2:30-3:30

报告地点:计算机楼B518

  

  

报告人:徐贯东

Bio: Dr Guandong xu is an Associate Professor(Reader) and PhD advisor, and the Director of data Science & Machine Intelligence lab at the Advanced Analytics Institute, University of Technology Sydney. His research interests cover Data Mining and Data Analytics, Behavioral modelling, NLP & Text Mining, Recommender Systems, Social Network Analysis and Social Media Mining. His research has gained grant funding from Australian and Chinese governments and projects from industries amounting A$2. 5M in past three years. In past years, he has had over 180+ publications including TIST, TOIS, TNNLS, TIFS, TSC, Inf sci, IEEE-IS, KBS, IJCAL, AAAL, WWW, ICDE, ICDM, and CIKM. He served in IEEE Computational Intelligence Society Technical Committee of Data Mining, is the Assistant EiC of www Journal and guest editors for several international journals. He was recipients of 2016 Australian Big Insight Data Analytics Award and 2017 Marketing Excellence in Data awards