Expertise in Information Retrieval
Budget: £10 – £20 GBP
Search engines have become the first entry point into a world of knowledge and they form an essential part of many modern computer applications. While much of the underlying principles have been developed over decades, the landscape in search engine technology has changed dramatically in recent years to deal with data sources magnitudes larger than ever before (the rise of `big data`).
As a result of that new paradigms for storing, indexing and accessing information have emerged. This module will provide the essential foundations of information retrieval and equip the students with solid, applicable knowledge of state-of-the-art search technology. Students will write computer programs to solve IR tasks.The aim of the module is to provide the essential foundations of information retrieval and equip the students with solid, applicable knowledge of state-of-the-art search technology. Expected to 1:Design and implement a standard information retrieval system
2. Understand standard IR models and their merits and limitations
3. Demonstrate practical knowledge of employing state-of-the-art open source software for IR
4. Demonstrate an understanding of commonly used evaluation approaches in IR
5. Understand advanced concepts of search applications
As a result of that new paradigms for storing, indexing and accessing information have emerged. This module will provide the essential foundations of information retrieval and equip the students with solid, applicable knowledge of state-of-the-art search technology. Students will write computer programs to solve IR tasks.The aim of the module is to provide the essential foundations of information retrieval and equip the students with solid, applicable knowledge of state-of-the-art search technology. Expected to 1:Design and implement a standard information retrieval system
2. Understand standard IR models and their merits and limitations
3. Demonstrate practical knowledge of employing state-of-the-art open source software for IR
4. Demonstrate an understanding of commonly used evaluation approaches in IR
5. Understand advanced concepts of search applications