Information Retrieval
Lecturer
Abstract
Boolean queries over titles and abstracts in library catalogs gave rise to a new field of Computer Science that today is known by the name of Information Retrieval. The achievements in this field have enabled search technologies that bring large amounts of information almost instantly to our finger tips. Today’s search engines can index billions of documents and enable thousands of queries per second. They exploit information retrieval techniques on rich content features to satisfy the daily needs of hundreds of millions of users all around the globe. These techniques will make up the main subject of this lecture.
Topics
Information theory, indexing, top-k retrieval, general retrieval models and evaluation, link analysis, social search
Literature
Ricardo Baeza-Yates, Berthier Ribeiro-Neto: Modern Information Retrieval
Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze: Introduction to Information Retrieval
Soumen Chakrabarti: Mining the Web, Discovering Knowledge from Hypertext Data
IR Toolkits
Timetable
- Lectures: Mondays 13:30 - 15:00, room H-E.51
- Exercises: Tuesdays 15:30 - 17:00, room H-E.52 (biweekly)
Date | Topic | |
|---|---|---|
| 15.10.12 | Introduction & examples | |
| 22.10.12 | Basics of probability and information theory | |
| 29.10.12 | Retrieval models | |
| 05.11.12 | Retrieval evaluation | |
| 12.11.12 | Link analysis | |
| 19.11.12 | Query processing | |
| 26.11.12 | Mid-term exam | |
| 03.12.12 | Index construction | |
| 10.12.12 | Top-k processing | |
| 17.12.12 | Social search (overview) | |
| 07.01.13 | Collaborative filtering | |
| 14.01.13 | Clustering | |
| 21.01.13 | Recapitulation |
Exam
Condition for exam admission: oral presentation of at least two solutions during the tutorials
Form of exam: oral exam at the end of the term