Information Retrieval Organization of the course JianYun Nie
- Slides: 6
Information Retrieval Organization of the course Jian-Yun Nie 聂建云
Goals of this course • Learn how IR systems and search engines work – Main aspects of IR – Main approaches • Develop research skills – Critical reading – Creative thinking – Rigorous testing and analysis – Communication skills - Discussions IR experiments Paper reading Reports
schedule Week 1 (21/2) 2 (28/2) 3 (7/3) Topics Introduction Indexing process Traditional models Assignments Boolean, Vector space, Probabilistic, … 4 (14/3) Language models Exploring an existing system (30%) (5) (21/3) System Evaluation (6) (28/3) Efficient implementation (Map. Reduce)
schedule (cont’d) Week 7 (4/4) Topics Integrating term relations Assignments Query expansion, query suggestion, … 8 (11/4) 9 (18/4) 10 (25/4) (11) (2/5) (12) (9/5) 13 (16/5) 14 (23/5) 15 (30/5) 16 (6/6) Integrating term dependencies Visit to MSRA LSA/LDA, paper writing Survey/extension to existing methods (30%) Classification/clustering Learning to rank CLIR Chinese IR Student presentations Final exam (40%)
references • Some books – W. Bruce Croft, Donald Metzler, Trevor Strohman. 2009. Search Engines: Information Retrieval in Practice, Pearson Education – Christopher D. Manning, Prabhakar Raghavan and Hinrich, 2008. Introduction to Information Retrieval, Cambridge University Press. – Several books in book series (to be distributed) • Journals – – ACM-TOIS Information Processing and Management Information Retrieval Journal JASIST • Research papers – To be distributed
Contact • Email: nie@iro. umontreal. ca • Office: 1247, computer science building • Help from Peng Bo
