Don't miss this PhD defense by Alessandro, who worked closely with me (and of course with his supervisor Jian-Yun Nie):

---------- Forwarded message ----------
From: Guy Lapalme <lapalme@iro.umontreal.ca>
Date: 2016-04-29 10:28 GMT-04:00
Subject: Soutenance de thèse: 5 mai 2016, jeudi 13 h 30
To: seminaires@iro.umontreal.ca


Soutenance de thèse

Learning representations for information retrieval
Alessandro Sordoni

Le 5 mai 2016 à 13 h 30
Salle 3195, Pavillon André-Aisenstadt

Information retrieval deals with questions such as: Is this document
relevant to this query? How similar are two queries or two documents? How
can query and document similarity be used to enhance relevance estimation?
In order to answer these questions, it is necessary to create computational
representations of documents and queries. Our goal is to provide new ways
of estimating such representations and their relevance relationship. We
present a series of research leading to the following observation: future
improvements in information retrieval effectiveness has to rely on
representation learning techniques instead of a manual definition of the
representation space.

Jury:

Guy Lapalme, président
Jian-Yun Nie, directeur
Alain Tapp, membre
Bruce Croft (University of Massachusetts, Amherst), examinateur externe