After successful completion of the course, students are able to

• understand the classic search engine techniques for indexing, performing searches and creating rankings,

• assess the various evaluation approaches and their suitability for different tasks,

• explain the importance of other sources of information and their integration into search procedures (e.g. PageRank), and

• understand the basic methods for searching different modalities such as text, image, audio and video.

Translated with DeepL.com (free version)

Grundlagen der natürlichen Sprachverarbeitung

• Textverarbeitung: Tokenization, Stemming, Textnormalisierung, etc.
• Sprachmodelle

Grundlagen des Information Retrieval
– Inverted Index
– Suche mit dem Inverted Index (Dokumente nach enthaltenen Wörtern finden)
• Scoring und Ranking
– Relevanzbewertung
• Evaluierung von Suche
– Metriken zur IR Evaluierung: MAP, NDCG, etc…
• Websuche
• Analyse von Suchprotokollen
– PageRank
• Benutzeroberflächen für Suchanwendungen
• Statistische und explizite Semantik
• Multimodale Suche (Musik, Bild, …)

Lectures about the fundamentals (lectures are planned onsite, could however be held online if it becomes necessary due to the pandemic)

Implementations in two practical exercises.

We use TUWEL for lecture dates, slides, and exercise management. 

ECTS Effort:
Lectures: 14 sessions @ 2h: 28h
Exercise 1 (Milestone#1: 20h, Milestone#2: 30h)
Exercise 2 (Milestone#1: 20h, Milestone#2: 30h)
Exam Preparation: 20h
2 Exams @ 1h: 2h
----------------------------------------------
Sum: 150h

Two practical exercises (with two milestones each) and two exams (the exams will be held onsite. If necessary due to a pandemic, then an announcement will be made that the exams will be moved online)

Good programming skills in one static-compiled programming language