Title Information Retrieval
Lesson Code 321-10200
Semester 8
ECTS 5
Hours (Theory) 3
Hours (Lab) 0
Faculty Department Secretary

Syllabus

Introduction to information retrieval systems. Information retrieval/filtering and browsing. Modeling: Set theoretic models, Algebraic models, Probabilistic models. Text processing and compression. Zipf's law and Heaps' law. Introduction to markup languages. Indexing methods: inverted files, suffix trees and arrays, signature files. Online search methods. Evaluation of information retrieval systems. User feedback and query expansion. Web search: search engines, web crawling techniques, link-based methods.

Learning Outcomes

Upon successful completion of the course, the student will:

  • Have the knowledge to distinguish between data retrieval and information retrieval, to analyze the architecture of an information retrieval system and to understand the properties of binary, vector and probabilistic information retrieval models.
  • Have the skills to apply the most common methods of indexing, user feedback and query extension to information retrieval systems.
  • Have the ability to evaluate information retrieval systems and understand web crawling techniques and the particularities of retrieving information on the Web.

Prerequisite Courses

Not required.

Basic Textbooks

1. Christopher Manning, Prabhakar Raghavan, Hinrich Schutze, Introduction to Information Retrieval, Stanford NLP Group, 2009.

Additional References

1. Baeza-Yates and Ribeiro-Neto, “Modern Information Retrieval”, Addision Wesley, 1999.
2. Witten, Moffat, and Bell, “Managing Gigabytes: Compressing and Indexing Documents and Images”, Morgan Kaufmann Publishing, 1999.
3. C. J. van Rijsbergen, “Information Retrieval”, 2nd edition, 1979.

Teaching and Learning Methods

Activity Semester workload
Lectures 39 hours

 
Personal study 83 hours
 
Final exams 3 hours
Course total 125 hours (5 ECTS)

Student Performance Evaluation

Final written exam, personal project.

Language of Instruction and Examinations

Greek, English (for Erasmus students)

Delivery Mode

Face-to-face.