Foundations of Information Retrieval (2018-1A)

Jump to today

Welcome to the course Foundations of Information Retrieval, a new 5 credit course that is based on the first part of last year's 10 credit course Information Retrieval. We will introduce some exciting new things in the course: This year's practical assignments are motivated by use cases of the Text Retrieval Conference' Genomics track. We will use Elasticsearch, one of today's most used, and most popular open source scalable search systems. The practical assignments use Jupyter notebooks. We hope to see you at the first lecture on Wednesday 5 September at 10:45h.

Theo Huibers, Dolf Trieschnigg and Djoerd Hiemstra.

 

Study Material

Christopher Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval, Cambridge University Press. 2008. https://nlp.stanford.edu/IR-book/

 

Additional Material

Mark Sanderson and Bruce Croft, The History of Information Retrieval Research, Proceedings of the IEEE, Volume 100, 2012. http://marksanderson.org/publications/my_papers/IEEE2012.pdf

Djoerd Hiemstra and Wessel Kraaij, “Evaluation of Multimedia Retrieval Systems'’, In Multimedia Retrieval, Springer, ISBN 978-3-540-72894-8, pages 347-365, 2007. http://www.cs.utwente.nl/~hiemstra/papers/mmbook-eval.pdf

Djoerd Hiemstra, “Information Retrieval Models'’, In: Ayse Goker and John Davies (eds.), Information Retrieval: Searching in the 21st Century, Wiley, 2009. http://www.cs.utwente.nl/~hiemstra/papers/IRModelsTutorial-draft.pdf

 

Forum and help

Follow the discussions on Mastodon, using hash tag #FIR.

 

Course trailer

 

Slides

 

Course summary:

Date Details Due
Public domain This course content is offered under a Public domain license. Content in this course can be considered under this license unless otherwise noted.