Principles of Advanced Information Retrieval in different domains, primarily in text (advanced methods), but also audio retrieval; advanced methods in IR (quantum IR, ...).
Information Retrieval is the science behind search technology. Certainly, the most visible instances are the large Web Search engines, the likes of Google and Bing, but information retrieval appears everywhere we have to deal with unstructured data.
For 2016, this course, Advanced IR, will still overlap quite significantly with the IR course (188.412). The difference is that 188.412 has an extra exercise this year, compared with AIR, and AIR replaces one lecture of IR with one on the advanced techniques mentioned above.
Principles of IR Application domains and associated Feature Spaces, Information Extraction, Retrieval Methods, Relevance Feedback Classification Methods
Lecture dates can be found in TUWEL
ECTS/Effort:
Lectures: 8 sessions @ 2h: 16h
Exercises:
EX1: 25h
EX2: 15h
Exam Preparation: 18h
Exam: 1h
SUM: 75h
Ex1, Ex2: 1..100 points. Minimum 35.
Exam: 1..100 points. Minimum 35.
Grade=0.38*Ex1+0.23*Ex2+0.4*Exam
