Introduction

• Introduction to the ESSIR 2007 Summer School (by Iadh Ounis) [slides]

Lectures

The classes will be:

• Introduction to Information Retrieval (by Keith van Rijsbergen) [slides]

• IR Systems/Architecture & Large-scale IR (by Mark Sanderson) [slides]

• Introduction to IR Models (by Norbert Fuhr) [slides] [ref]

• Advanced Statistical Models for IR (by Gianni Amati) [slides]

• Evaluation in IR & TREC (by Stephen Robertson) [slides]

• Structure/XML Retrieval (by Mounia Lalmas) [slides]

• Users, Interaction and Information Seeking/Retrieval (by Peter Ingwersen and Kalervo Järvelin) [slides]

• Information Retrieval and Context (by Ian Ruthven) [slides]

• Question Answering, Information Extraction & NLP (by Maarten de Rijke) [slides]

• Multimedia Information Retrieval (by Alan Smeaton) [slides]

• Machine Learning, Categorisation and Classification (by David Lewis) [slides]

• Web Usage and Data Mining (by Bettina Berendt) [slides]

• Distributed and Peer-to-Peer IR, including Open Source IR (by Wray Buntine) [slides]

• Intranet and Enterprise Search (by Nick Craswell and Arjen de Vries) [slides]

• Web Information Retrieval (by David Hawking) [slides] [ref]

Industrial Lectures

There will be two industrial-oriented lectures:

• Providing Effective Web Search: A "Google-y" Perspective (by Trystan Upstill) [slides]

• Information Retrieval & Business (by Theo Huibers) [slides]

Panel Session

There will be a Panel session:

• What makes a good IR PhD? (by Maristella Agosti, Fidel Cacheda, Yves Chiaramella, Theo Huibers, Vassilis Plachouras, Alan Smeaton and Keith van Rijsbergen )

Note: The login/password information for accessing the electronic proceedings and other materials was given on the ESSIR 2007 schedule leaflet, and distributed to all delegates. It is a folded sheet where you have the ESSIR 2007 schedule, the list of speakers, a map, etc.