Course Overview: An Introduction to Information

Retrieval and Applications

J. H. WangFeb. 23, 2011

IR, Spring 2011 NTUT CSIE 2

Instructor & TA

• Instructor– J. H. Wang ( 王正豪 )– Assistant Professor, CSIE, NTUT– Office: R1534, Technology Building– E-mail: jhwang@csie.ntut.edu.tw– Tel: ext. 4238– Office Hour: 10:00-12:00 am, every Wednesday and

Thursday• TA

– Mr. Lin ( 林承翰 ): 2011.ir.ta@gmail.com – R1424, Technology Building

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Course Description• Course Web Page

– http://www.ntut.edu.tw/~jhwang/IR/• Time: 13:10-16:00pm, Wed.• Classroom: R327, 6th Teaching 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 ) Publis

hing• Prerequisites:

– Basic knowledge of data structures and algorithms, linear algebra, and probability theory

– Programming experience is necessary for projects

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Additional References

• References: – Ricardo Baeza-Yates and Berthier Ribeiro-Neto, Mo

dern 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 )

– Stefan Buettcher, Charles L.A. Clarke, and Gordon V. Cormack, Information Retrieval: Implementing and Evaluating Search Engines, MIT Press, 2010.

– Bruce Croft, Donald Metzler, and Trevor Strohman, Search Engines: Information Retrieval in Practice, Addison-Wesley, 2010. ( 全華 )

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More Books on IR• Gerald Salton, Automatic information organization an

d 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, 1999. – The authority on index construction and compression.

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Grading Policy

• Homework assignments and programming exercises: 40%

• Mid-term exam: 25%• Term project (including the

proposal): 35%

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Programming Exercises and Term Project

• At least two programming exercises– Team-based (at most 4 persons per team)– You can either write your own code or reuse

existing open source code– Topics: (to be announced…)

• The term project– Either team-based system development (the

same as programming exercises)– Or academic paper presentation

• But, you should do it on your own (only 1 person), NOT team-based

– A proposal is required around midterm (Apr. 2011)

• Introduction, methods, experiment designs

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Online Submission

• Submission instructions– Programs, project proposals, and project

reports in electronic files must be submitted to the TA online at:• http://140.124.183.39/ir/

– Before submission: • User name: Your student ID• Please change your default password at your

first login

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What this Course is NOT about

• This course will NOT tell you– The tips and tricks when 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 concepts of IR

– How to make money on the Web, although the currently largest search engine did it

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What’s Information Retrieval

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On Wikipedia

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On GeoNet

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On Google Maps

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On Google News

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On Blogs

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Or More Related Keywords

• South Island• Christchurch• Canterbury• Christchurch Cathedral• …

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What if We Search in Chinese

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And More…

• 南島• 第二大城• 基督城• 大教堂• …• And other languages…

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What Is Information Retrieval?

• “Information retrieval is a field concerned with the structure, analysis, organization, storage, searching, and retrieval of information.” (Salton, 1968)

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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

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A Big Picture

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Inverted Index

UserInterface

Text Operations

Query Expansion Indexing

Retrieval

Ranking

Text

query

user need

user feedback

ranked docs

retrieved docs

Doc representationlogical view

inverted file

Document Collection

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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

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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– Text classification (Ch. 13-15)– Document clustering (Ch. 16-18)

• Web Search– Web crawling and indexes (Ch. 19-20)– Link analysis (Ch. 21)

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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

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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 wk)– Document clustering (1 wk)– Web search (2 wks)– Advanced topics: CLIR, IE, … (2 wks)– Term Project Presentation (3 wks)

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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

•

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Academic Resources

• Journals– ACM TOIS: Transactions on Information Systems – JASIST: Journal of the American Society of Information

Sciences– IP&M: Information Processing and Management

• Conferences– ACM SIGIR: International Conference on Information

Retrieval– ACM CIKM: Conference on Information Knowledge and

Management– JCDL: ACM/IEEE Joint Conference on Digital Libraries– TREC: Text Retrieval Conference

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Thanks for Your Attention!