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Course Overview: An Introduction to Information Retrieval and Applications

Course Overview: An Introduction to Information Retrieval and Applications. J. H. Wang Feb. 17, 2014. Instructor & TA. Instructor J. H. Wang ( 王正豪 ) Associate Professor, CSIE, NTUT Office: R1534, Technology Building E-mail: jhwang@csie.ntut.edu.tw Tel: ext. 4238

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Course Overview: An Introduction to Information Retrieval and Applications

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  1. Course Overview: An Introduction to Information Retrieval and Applications J. H. Wang Feb. 17, 2014

  2. Instructor & TA • Instructor • J. H. Wang (王正豪) • Associate Professor, CSIE, NTUT • Office: R1534, Technology Building • E-mail: jhwang@csie.ntut.edu.tw • Tel: ext. 4238 • Office Hour: 9:00-12:00 am, every Tuesday and Thursday • TA • Mr. Huang (R1424, Technology Building) • Available Time: Mon. morning or Tue. Afternoon • E-mail: jsn900211 @ gmail.com NTUT CSIE

  3. Course Description • Course Web Page: for the latest announcements and updates of schedule, slides, and homeworks • http://www.ntut.edu.tw/~jhwang/IR/ • Time: 9:10-12:00am, Fri. • Classroom: R334, Technology Building • Textbook: • Christopher D. Manning, Prabhakar Raghavan and Hinrich Schuetze, Introduction to Information Retrieval, Cambridge University Press, 2008. • Available online • International Student Edition, imported by Kai-Fa (開發) Publishing • Prerequisites: • Basic knowledge of data structures and algorithms, linear algebra, and probability theory • Programming experience is *required* for homeworks & projects NTUT CSIE

  4. Target Audience • Seniors • Graduate students • IGPEECS (International Graduate Program in Electrical Engineering and Computer Science) NTUT CSIE

  5. Additional References • References: • Ricardo Baeza-Yates and Berthier Ribeiro-Neto, Modern Information Retrieval: The Concepts and Technology behind Search, Addison-Wesley, 2011. • This is the second edition of their book Modern Information Retrieval in 1999. (華通) • Bruce Croft, Donald Metzler, and Trevor Strohman, Search Engines: Information Retrieval in Practice, Addison-Wesley, 2010. (全華) • Stefan Buettcher, Charles L.A. Clarke, and Gordon V. Cormack, Information Retrieval: Implementing and Evaluating Search Engines, MIT Press, 2010. NTUT CSIE

  6. More Books on IR • Gerald Salton, Automatic information organization and retrieval, McGraw-Hill, 1968. • Gerald Salton and M.J. McGill, Introduction to modern information retrieval, McGraw-Hill, 1983. • Two classics, but out-of-print. • C. J. van Rijsbergen, Information Retrieval, Butterworths, 1979. • The classic. More than 40 years old, but still worth reading. • K. Sparck Jones, P. Willett, Readings in Information Retrieval, Morgan Kaufmann, 1997. • A collection of classical IR papers. (out of print) • I.H. Witten, A. Moffat, T.C. Bell. Morgan Kaufmann, Managing Gigabytes, 2nd edition, 1999. • The authority on index construction and compression. NTUT CSIE

  7. Grading Policy • Homework assignments and programming exercises: ~40% • Mid-term exam: ~25% • Term project: ~35% • Including proposal, presentation, and final report NTUT CSIE

  8. Programming Exercises and Term Project • About 3 programming exercises • Team-based with maximum number of students per team: • 4 for undergraduates • 2 for graduate students • You can either write your own code or reuse existing open source code • The term project • Either team-based system development (the same as programming exercises) • Or academic paper presentation • Only one person per team allowed • A proposal is *required* before midterm (Apr. 11, 2014) NTUT CSIE

  9. About the Term Project • The score you get depends on the functions, difficulty and quality of your project • For system development: • System functions and correctness • For academic paper presentation • Quality and your presentation of the paper • Major methods/experimental results *must* be presented • Papers from top conferences are strongly suggested • E.g. SIGIR, WWW, CIKM, WSDM, JCDL, ICMR, … • Proposals are *required* for each team, and will be counted in the score NTUT CSIE

  10. Online Submission • Submission instructions • Programs, project proposals, and project reports in electronic files must be submitted to the TA online at: • Submissions website: http://140.124.183.31/net2ftp • Submission instructions: • FTP server: localhost • User name & password: Your student ID NTUT CSIE

  11. What this Course is NOT about • This course will NOT tell you • The tips and tricks of using search engines, although power users might have better ideas on how to improve them • There’re plenty of books and websites on that… • How to find books in libraries, although it’s somewhat related to the basic IR concepts • How to make money on the Web, although the currently largest search engine did it NTUT CSIE

  12. What’s Information Retrieval? • Things that you have been doing all day! • Searching for something interesting: Web, news, e-mail, image, video, … • Asking for advices • … • User interests are changing all the time… • 2011: New Zealand Earthquake • 2012: Jeremy Lin • 2013: Meteor Russia • 2014: ? (next slide) NTUT CSIE

  13. What’s Information Retrieval NTUT CSIE

  14. In Google News NTUT CSIE

  15. NTUT CSIE

  16. In Web Pages NTUT CSIE

  17. In Wikipedia NTUT CSIE

  18. In Google Images NTUT CSIE

  19. Different keywords: Ukraine riots NTUT CSIE

  20. NTUT CSIE

  21. More related keywords NTUT CSIE

  22. NTUT CSIE

  23. What if We Search in Chinese NTUT CSIE

  24. NTUT CSIE

  25. NTUT CSIE

  26. NTUT CSIE

  27. NTUT CSIE

  28. Related Keywords • Ukraine • Ukraine riots • Ukraine crisis • Kiev • Protest • Truce • 2014 Hrushevskoho Street riots • … NTUT CSIE

  29. Related Keywords in Chinese • 烏克蘭 • 基輔 • 示威 • 衝突 • 危機 • 鎮壓 • … • And this can go on: • for other languages… • and other search engines… • and social websites… NTUT CSIE

  30. In Google Trends NTUT CSIE

  31. NTUT CSIE

  32. NTUT CSIE

  33. And Social Search… NTUT CSIE

  34. How do I Know What PeopleCare about? NTUT CSIE

  35. What are People Searching in Taiwan on that day? NTUT CSIE

  36. What Is Information Retrieval? • “Information retrieval is a field concerned with the structure, analysis, organization, storage, searching, and retrieval of information.” (Salton, 1968) NTUT CSIE

  37. Goal • Information retrieval (IR): a research field that targets at effectively and efficiently searching information in text and multimedia documents • In this course, we will introduce the basic text and query models in IR, retrieval evaluation, indexing and searching, and applications for IR NTUT CSIE

  38. A Big Picture NTUT CSIE

  39. User Interface user need Text Text Operations Doc representation logical view Query Expansion Indexing user feedback inverted file query Inverted Index Retrieval Document Collection retrieved docs Ranking ranked docs NTUT CSIE

  40. Topics • Text IR • Indexing and searching • Query languages and operations • Retrieval evaluation • Modeling • Boolean model • Vector space model • Probabilistic model • Applications for IR • Multimedia IR • Web search • Digital libraries NTUT CSIE

  41. Organization of the Textbook • Basics in IR (focus) • Inverted indexes for boolean queries (Ch.1-5) • Term weighting and vector space model (Ch. 6-7) • Evaluation in IR (Ch. 8) • Advanced Topics • Relevance feedback (Ch. 9) • XML retrieval (Ch. 10) • Probabilistic IR (Ch. 11) • Language models (Ch. 12) • Machine learning in IR (useful) • Text classification (Ch. 13-15) • Document clustering (Ch. 16-18) • Web Search • Web crawling and indexes (Ch. 19-20) • Link analysis (Ch. 21) NTUT CSIE

  42. Some Overlap with Other Fields • Text mining, Information Extraction • Machine Learning • Natural Language Processing • Social Network Analysis • … NTUT CSIE

  43. Pointers to Other Topics • Cross-language IR • Image, video, and multimedia IR • Speech retrieval • Music retrieval • User interfaces • Parallel, distributed, and P2P IR • Digital libraries • Information science perspective • Logic-based approaches to IR • Natural language processing techniques • … NTUT CSIE

  44. Tentative Schedule • Before midterm • Boolean retrieval (1 wk) • Indexing (2 wks) • Vector space model and evaluation (2 wk) • Relevance feedback (1 wk) • Probabilistic IR (2 wk) • After midterm • Text classification (1-2 wk) • Document clustering (1-2 wk) • Web search (2 wks) • Advanced topics: CLIR, IE, … (2 wks) • Term Project Presentation (3 wks) NTUT CSIE

  45. Generic Resources • Wikipedia page on Information Retrieval: http://en.wikipedia.org/wiki/Information_retrieval • Information Retrieval Resources: http://www-csli.stanford.edu/~hinrich/information-retrieval.html NTUT CSIE

  46. Academic Resources • Journals • ACM TOIS: Transactions on Information Systems • JASIST: Journal of the American Society of Information Sciences • IP&M: Information Processing and Management • IEEE TKDE: Transactions on Knowledge and Data Engineering • Conferences • ACM SIGIR: International Conference on Information Retrieval • WWW: World Wide Web Conference • ACM CIKM: Conference on Information Knowledge and Management • JCDL: ACM/IEEE Joint Conference on Digital Libraries • ACM WSDM: International Conference on Web Search and Data Mining • TREC: Text Retrieval Conference NTUT CSIE

  47. Teaching in English… • Slides and lectures will be offered mainly in English • For better understanding for domestic students, important concepts will be briefly summarized in Chinese NTUT CSIE

  48. Thanks for Your Attention! • Any question or comment? Please feel free to send e-mails to jhwang@csie.ntut.edu.twor discuss with me at my office NTUT CSIE

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