Lehrpersonen

Dozent(in)

• Prof. Dr.-Ing. Norbert Fuhr

Übungsleiter(innen)

• Firas Sabbah, M.Sc.

Formalia

Zielgruppe

• Angewandte Informatik Master mit 3+1 Wochenstunden und 6 Kreditpunkten
• Komedia Master mit 3+1 Wochenstunden und 6 Kreditpunkten
• ISE Master mit 3+1 Wochenstunden und 6 Kreditpunkten

Termine

Beschreibung

Course Topics

• Extended Models: Predicate logic, ontologies
• Search User Interfaces: Query Specification, Presentation of Search Results, Query Reformulation, Supporting the Search Process, Designing the Search Process
• IR tasks:Learning to Rank, Classification, Clustering
• Implementation of IR Systems: Data structures, algorithms
• Deep Learning in IR

While this Web page is static, all further (and more current) information can be found in the Moodle course (no signin key required).

Vorlesungsmaterial

Books

• Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze, Introduction to Information Retrieval. Cambridge University Press, 2008.
• Bruce Croft, Donald Metzler, Trevor Strohman: Search Engines: Information Retrieval in Practice. Addison-Wesley, 2009.
• R. Baeza-Yates, B. Ribeiro-Neto: Modern Information Retrieval. Addison Wesley.
• Marti A. Hearst: Search User Interfaces. Cambridge University Press. (2009)
• Some further IR books and course notes are linked here.

Literature on specific topics

• Models
  • N. Fuhr (2014): Bridging Information Retrieval and Database
• IR Measures
  • Marco Ferrante; Nicola Ferro; Norbert Fuhr (2021): Towards Meaningful Statements in IR Evaluation. Mapping Evaluation Measures to Interval Scales.IEEE Access abs/2101.026689
• Clustering
  • N. Fuhr; M. Lechtenfeld; B. Stein; T. Gollub (2011): The Optimum Clustering Framework: Implementing the Cluster Hypothesis

Example exam questions

Slides

For copyright reasons, the slides are accessible from within the universitry network only!

• Lehrangebot des Fachgebiets
• Introduction
  • Information Retrieval: A short introduction:
• Models
  • Models based on predicate logic
• Learning and classification
  • Naive Bayes
  • Learning to Rank
• Clustering
  • Flat clustering
  • Hierarchic clustering
  • Optimum Clustering Framework
• User Interfaces
  • Interactive Retrieval
• IR Measures
  • Carterette et al: Advances on the Development of Evaluation Measures
  • Ferro: IR evaluation measures: Is it a matter of scales? Or meaningfulness? Or both?

Übungen

Nützliche Links

• Datalog-Interpreter
• Protege ontology editor
• SPARQL Demo
• RapidMiner
  • Anleitung
  • Operatorenübersicht
  • Tutorial-Videos