Principles of Information Retrieval in different domains, such as text, or audio retrieval. Information Retrieval is the science behind our every-day search engine. Certainly, the most visible instances thereof are the large Web Search Engines, the likes of Google and Bing, but search technology, and therefore information retrieval, appears everywhere we have to do with unstructured data.
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: 32.5h
Ex2: 30h
Ex3: 15h
Exam Preparation: 18h
Exam: 1h
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SUM: 112,5h
This course will be supported via TUWEL, i.e.: - you will find all the lecture slides there - questions regarding the course, lab examples, etc. should be posted in the TUWEL forum only, not in the TISS forum To get access to the TUWEL course, you need to apply to the group in TISS, then you'll be automatically allowed to enter the TUWEL course.
Ex1,Ex2,Ex3,Exam = 1..100 points
Final grade = 0.25*Ex1+0.23*Ex2+0.12*Ex3+0.4*Exam
A minimum of 35/100 points is required on each item.
