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
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