2008 © ChengXiang Zhai Dragon Star Lecture at Beijing University, June 21-30, 龙星计划课程 : 信息检索 Course Summary ChengXiang Zhai ( 翟成祥 ) Department of Computer Science Graduate School of Library & Information Science Institute for Genomic Biology, Statistics University of Illinois, Urbana-Champaign

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

2008 © ChengXiang Zhai Dragon Star Lecture at Beijing University, June 21-30, What We Haven’t Covered Text In-depth NLP Techniques (e.g., sense disambiguation, parsing, extraction) NLP Techniques Text Access Techniques Multimedia Retrieval Information Filtering Cross-Language Retrieval Distributed/P2P Retrieval … Categorization, Clustering Discriminative Classifiers (SVM,..) Sophisticated Statistical Models and Parameter Estimation Data Mining Text Mining Techniques Many Web Applications, Digital Libraries Domain-Specific Content Management (Legal & Bioinformatics) Applications Take an NLP Course Take courses on machine learning, data mining, and statistics Read IR Literature Read literature Go & Build Tools!

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