Information Retrieval
| Course Code: | Ν2-6044 |
| Weekly Duty: | 4 (2Th + 2L) |
| ECTS: | 5 |
| Typical Semester: | 6th |
| Course Category: | Specialty Course |
| Prerequisites: |
Learning Outcomes
Upon successful completion of the course students should have acquired:
- knowledge of principles, algorithms and systems of Information Retrieval
- understanding of matters arising during indexing and searching on the Web
- skills of designing, implementing and evaluating information retrieval systems
- ability to solve problems arising during the development and operation of information retrieval systems
Course Content
- Introduction – Definition of Information Retrieval
- Information retrieval models
- Automatic Indexing
- Inverted indices, Index compression
- Retrieval evaluation
- Relevance feedback and query expansion
- Language models
- Latent semantic indexing
- Natural language processing techniques
- Cross-language information retrieval
- Digital libraries
- Web retrieval
Literature
- R. Baeza-Yates, B. Ribeiro-Neto, Modern Information Retrieval 2nd edition, Addison-Wesley, 2011.
- Ch. Manning, P. Raghavan, H. Schütze, Introduction to Information Retrieval , CUP, 2008
- W.B. Croft, J. Lafferty (eds.), Language Modeling for Information Retrieval, Springer, 2003
- W.B. Croft, D. Metzler, T. Strohman, Search Engines: Information Retrieval in Practice. Pearson Education, 2009
- D.A. Grossman, O. Frieder, Information Retrieval: Algorithms and Heuristics. Springer, 2004.
- R. Korfhage, Information Storage and Retrieval, John Wiley & Sons, 1997
- J.I. Tait (ed.), Charting a New Course: Natural Language Processing and Information Retrieval. Essays in Honour of Karen Sparck Jones. Springer, 2005.
- I.H. Witten, A. Moffat, T.C. Bell, Managing Gigabytes: Compressing and Indexing Documents and Images, Morgan Kaufmann Publishing, 1999
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