Hasso-Plattner-Institut
Prof. Dr. Felix Naumann
  
 

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

Timetable

  • Lectures: Mondays 13:30 - 15:00, room H-E.51
  • Exercises: Tuesdays 15:30 - 17:00, room H-E.52 (biweekly)

Date

Topicpdf
15.10.12Introduction & examplespdf
22.10.12Basics of probability and information theorypdf
29.10.12Retrieval modelspdf
05.11.12Retrieval evaluationpdf
12.11.12Link analysispdf
19.11.12Query processingpdf
26.11.12Mid-term exam
03.12.12Index constructionpdf
10.12.12Top-k processingpdf
17.12.12Social search (overview)pdf
07.01.13Collaborative filteringpdf
14.01.13Clusteringpdf
21.01.13Recapitulation

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