An-Najah Staff

Course title and number

Information Retrieval systems
133464

Instructor(s) name(s)

Dr. Fady Draidi

Intended learning

Outcomes

On completion of this course, students should be able to

1.      Provides an introduction to information retrieval systems and different approaches of information retrieval

2.      Understand the evaluation techniques of information retrieval systems such as relevance ranking, recall, precision, average precision

3.      Explain the information retrieval storage methods such as  Inverted Index and Signature Files

4.      Explain retrieval strategies, such as Boolean model, Vector Space model, Probabilistic model, Inference Networks, and Neural Networks.

5.      Explain retrieval utilities such as Stemming, Relevance Feedback, N-gram, Clustering, and Thesauri, and Parsing and Token recognition.

6.      Design and implement a search engine prototype using the storage methods, retrieval models and utilities.

7.      Design and implement information retrieval systems such as web filtering, recommendation systems, cross-language IR, multimedia IR, and machine learning for information retrieval

8.      Apply theories to effectively solve information retrieval problems in real world situations

Textbook and 

Introduction to Information Retrieval, Cambridge University Press. 2008. Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze

http://nlp.stanford.edu/IR-book/

References

·         Modern Information Retrieval. Ricardo Baeza-Yates & Berthier Ribeiro-Neto , http://www.pearsoneduc.com

·         van Rijsbergen, C. J.  Information Retrieval. (Second Edition) Butterworth's (Boston, MA), 1979. (Full text of the book is available on the web).

·         Frakes, W. B. & Baeza-Yates, R. Information Retrieval: Data Structures & Algorithms. Prentice Hall (Englewood Cliffs, NJ) (ISBN: 0-13-463837-9). 1992.

·         Web Sites:

o   http://www.cs.utexas.edu/users/mooney/ir-course

o   http://www.ischool.washington.edu/efthimis/courses/lis544

o   http://www.informationretrieval.org/

Assessment Criteria

Activity

Percent (%)

First hour Exam

20

Second Hour Exam

20

Assignment Project

15

Activities

5

Final Exam

40