Computer Laboratory > Teaching > Course material 2007–08 > Computer Science Tripos Syllabus and Booklist 2007-2008 > Information Retrieval

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Information Retrieval

Lecturer: Dr S.H. Teufel

No. of lectures: 8

Prerequisite courses: Natural Language Processing, and a basic encounter with Probability is assumed

Aims

The course is aimed to characterise information retrieval in terms of the data, problems and concepts involved. The main formal retrieval model and the main evaluation methods are described. The course then covers problems and standard solutions in information extraction, and in question answering.

Lectures

Objectives

At the end of this course, students should be able to

Recommended reading

* Baeza-Yates, R. & Ribiero-Neto, B. (1999). Modern information retrieval. Reading, MA: Addison-Wesley and ACM Press.
* Salton, G. & McGill, M. (1983). Introduction to modern information retrieval. New York: McGraw-Hill.
Spärck Jones, K. & Willett, P. (eds.) (1997). Readings in information retrieval. San Francisco: Morgan Kaufmann.



next up previous contents
Next: Information Theory and Coding Up: Michaelmas Term 2007: Part Previous: Human-Computer Interaction   Contents