Course Summary Cheng Xiang Zhai Department of Computer

龙星计划课程: 信息检索 Course Summary Cheng. Xiang Zhai (翟成祥) Department of Computer Science Graduate School of Library & Information Science Institute for Genomic Biology, Statistics University of Illinois, Urbana-Champaign http: //www-faculty. cs. uiuc. edu/~czhai, czhai@cs. uiuc. edu 2008 © Cheng. Xiang Zhai Dragon Star Lecture at Beijing University, June 21 -30, 2008 1

Topics Covered in the Course Applications Web Search Engines Structured IR (intra-doc, inter-doc, link analysis) Text Access Techniques Text Mining Techniques Retrieval models (VS, LM, Regression) IR system implementation Feedback (Rocchio, Mixture) Personalized search NLP for IR IR-style (Categ. , Clustering, Summarization) ML-style (Mixture models) NLP Techniques Overview, Statistical LMs, Smoothing Text 2008 © Cheng. Xiang Zhai Dragon Star Lecture at Beijing University, June 21 -30, 2008 2

What We Haven’t Covered Applications Read literature Go & Build Tools! Many Web Applications, Digital Libraries Domain-Specific Content Management (Legal & Bioinformatics) Text Access Techniques Text Mining Techniques Categorization, Clustering Discriminative Classifiers (SVM, . . ) Sophisticated Statistical Models and Parameter Estimation Data Mining Multimedia Retrieval Information Filtering Cross-Language Retrieval Distributed/P 2 P Retrieval … Read IR Literature In-depth NLP Techniques (e. g. , sense disambiguation, parsing, extraction) Take an NLP Course Text 2008 © Cheng. Xiang Zhai Take courses on machine learning, data mining, and statistics Dragon Star Lecture at Beijing University, June 21 -30, 2008 3

What to Learn/Do Next? Applications Models Statistics Optimization Machine Learning Pattern Recognition Data Mining Natural Language Processing Applications Web, Bioinformatics… Information Retrieval Library & Info Science Databases Software engineering Computer systems Algorithms Systems 2008 © Cheng. Xiang Zhai Dragon Star Lecture at Beijing University, June 21 -30, 2008 4