Information Retrieval
(in German: Information Retrieval )
Module-ID: FIN-INF-110307 |
| Link: | LSF |
| Responsibility: | Andreas Nürnberger |
| Lecturer: | Andreas Nürnberger |
| Classes: |
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| Applicability in curriculum: | - B.Sc. INF: Informatik - Wahlpflicht - B.Sc. CV: Informatik - Wahlpflicht - B.Sc. INGINF: Informatik - Wahlpflicht - B.Sc. WIF: Gestalten und Anwenden - Wahlpflicht - B.Sc. INF (bilingual): Informatik - Wahlpflicht |
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Abbreviation IR |
Credit Points 5 |
Semester Winter |
Term ab 3. |
Duration 1 Semester |
Language english |
Level Bachelor |
Intended learning outcomes:
Students ...
- have the ability to create index structures for text and images using Apache SOLR, Apache Lucene and Elastic Search
- perform end-to-end pre-processing of text data
- develop index structures with pre-processing and user search interfaces
- evaluate search engine performance
Content:
- Statistical properties of texts
- Retrieval models and data structures
- Relevance feedback
- Evaluation
- Structuring datasets (clustering, categorisation)
- Structure and algorithms for web search
- Interface design
Workload:
56h contact time + 94h self study
| Pre-examination requirements: | Type of examination: | Teaching method / lecture hours per week (SWS): |
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Written exam. Requirements for exam participation will be announced in the first week of the course in class and online. |
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| Prerequisites according to examination regulations: | Recommended prerequisites: |
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keine |
| Media: | Literature: |
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Comments: