Modules | Area | Type | Hours | Teacher(s) | |
INFORMATION RETRIEVAL | INF/01 | LEZIONI | 48 |
|
The student who successfully completes the course will have the ability to design a simple search engine or one of the numerous text mining tools which are at the core of modern Web applications.
The student will be assessed on his/her demonstrated ability to discuss the main course contents using the appropriate terminology.
Methods:
Further information on the home page of this course.
Students will be able to evaluate a search engine and make design and SW choices related to IR applications
Via written and oral exam
Students will be able to understand and evaluate pro/cons of IR tools and which algorithmic solutions are the best for their IR problems at hand.
Via written and oral exams
Basics of Algorithms, Maths and Programming
Have attended and eventually passed one between Algorihtm Engineering or Algorithm Design courses
Delivery: face to face
Learning activities:
Attendance: Advised
Teaching methods:
Further details in the home page of the course.
Study, design and analysis of IR systems which are efficient and effective to process, mine, search, cluster and classify documents, coming from textual as well as any unstructured domain. In the lectures, we will:
C.D. Manning, P. Raghavan, H. Schutze. Introduction to Information Retrieval. Cambridge University Press, 2008 Chapter 2 “Text compression” of Managing Gigabytes, I.H. Witten and A. Moffat and T.C. Bell, Morgan Kauffman, Second edition, 1999.
http://didawiki.di.unipi.it/doku.php/magistraleinformatica/ir/ir16/start