题目：Graph based Information Retrieval and More
报告人：Dr. Dell Zhang,
Lecturer in Computer Science at Birkbeck College,
University of London, UK
时间：2007年4月6日（星期五），14:30-15:30
地点：蒙民伟楼404会议室
Abs:
Documents are often not independent but instead interrelated or interconnected
with each other. More and more researchers in machine learning, data mining
and information retrieval are now exploiting the explicit or implicit relationships
among documents by modelling corpora as graphs. Some graph-theoretical
methods originally proposed for the Web (e.g., PageRank and HITS) have
been propagating to other types of document graphs, such as email networks
and the blogosphere. Furthermore, there have recently been substantial
advances in graph based manifold/semi-supervised learning and graph pattern
mining. In this talk, I would like to give a brief overview about the usage
of graph models, particularly spectral graph theory, for information retrieval,
clustering, classification, and so on and so forth.
Bio:
Dell Zhang is a Lecturer in Computer Science at Birkbeck College, University
of London. He got his Ph.D. from Southeast University in Jan 2002, and
then worked as a Research Fellow in the Computer Science Programme of Singapore-MIT
Alliance till he moved to the UK in Sep 2005. His research is on the theme
of improving information retrieval/organization through machine learning
or data mining. He has several publications in prestigious conferences
such as KDD, WWW and SIGIR. He has served as a Demonstration Co-Chair for
HLT/EMNLP-2005, and a PC member for SIGIR-2006, ECIR-2007, SIGIR-2007,
etc. |
