FIT5166 - Information retrieval systems

Leader(s): Campbell Wilson

Offered

Not offered in 2009

Synopsis

This unit presents students with the theory and practice underlying computerised information retrieval. Topics covered include: history and context of information retrieval systems, retrieval models: Boolean, vector space and probabilistic, evaluation strategies and test collections, web search engines, very large databases, indexing, content-based multimedia retrieval, relevance feedback.

Objectives

At the conclusion of this unit students will:

1. appreciate the context and application of information retrieval systems.
2. understand the different models of information retrieval and their comparative advantages and disadvantages.
3. understand how objective and subjective evaluation strategies are used with information retrieval systems.
4. be conversant with the issues and challenges of managing very large databases of heterogeneous data for information retrieval.
5. understand how web search engines and search algorithms are constructed, utilised and deployed
6. appreciate the different indexing strategies that can be used for the retrieval of information across different modalities.
7. understand how information retrieval systems can be used for the retrieval of audio-visual information.
8. appreciate the utility of and understand the theoretical and practical underpinnings of relevance feedback in information retrieval systems.

Assessment

Practical work: 50%, Exam (2 hours): 50%

Contact hours

2 hours lectures/week, 2 hours tutorials/week

Prerequisites

For MAIT students, FIT9017, FIT9018, FIT9019, FIT9030, FIT9020 and FIT4037.
Recommended knowledge: Basic familiarity with file organisation theory and UNIX

Additional information on this unit is available from the faculty at:

http://www.infotech.monash.edu.au/units/fit5066/