Очень  актуальная программа в этом году на Руссир: почти половина про нейросети. Действительно, в последние несколько лет мир информационного поиска (и вообще прикладного IT, включая языковые технологии) сильно изменился, огромную роль стали играть подходы, основанные на глубоких сетях. Там столько всего происходит и так быстро все меняется, что включится в эту тема с нуля и разобраться самостоятельно может быть сложно. Так что школа может оказаться очень полезна.

Среди преподавателей известные ученые. В общем, рекомендую, а то не съездите в этом году — наука уйдет вперед и не догоните ее!


11th Russian Summer School in Information Retrieval (RuSSIR 2017)
August 21-25, 2017, Yekaterinburg, Russia

***Application deadline: June 25, 2017***

The 11th Russian Summer School in Information Retrieval (RuSSIR 2017)
will be held on August 21-25, 2017 in Yekaterinburg, Russia. The school
is co-organized by the Ural Federal University ( and
the Russian Information Retrieval Evaluation Seminar (ROMIP, The RuSSIR 2017 will have a special focus on neural
networks and their applications for the Information Retrieval.

The missions of the RuSSIR school series are to enable students to learn
about modern problems and methods in information retrieval and related
disciplines; to stimulate scientific research and collaboration in the
field; to create an environment for successful networking between
scientists, students and industry professionals.

RuSSIR 2017 will offer the following keynotes and courses:

* Ruslan Salakhutdinov (Carnegie Mellon University, USA) — «Foundations
of Deep Learning»
* Jaap Kamps (University of Amsterdam, the Netherlands) — «Foundations
of Information Retrieval and its Future»

* Ying-Hsang Liu (Charles Sturt University, Australia) — «Design and
Implementation of User Experiments in Information Retrieval»
* Giorgio Maria Di Nunzio (University of Padua, Italy) — «An Interactive
<<View>> of Probabilistic Models for Text Retrieval, Classification,
* Efstratios Gavves (University of Amsterdam, The Netherlands) — «Deep
Learning for Language and Vision»
* Stefan Rueger (The Open University, United Kingdom) — «Visual
retrieval and mining»
* Mikhail Burtsev and Valentin Malykh (MIPT, Russia) — «Conversational
Intelligence: Deep Learning Approach»
* Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani,
Maarten de Rijke and Bhaskar Mitra (University of Amsterdam, the
Netherlands; Yandex, Russia; Microsoft Bing, United Kingdom) — «Neural
Networks for Information Retrieval»

Additionally, our industry sponsors will give talks on how information
retrieval methods help them solve their production tasks.

Summer school participants will have an opportunity to present their
current research projects/ideas at poster sessions and to get feedback
from the fellow students and the lecturers. The school will have a
versatile social program.


Application deadline: June 25, 2017
Notification: July 5, 2017
School: August 21-25, 2017


The target audience of the school is advanced graduate and PhD students,
post-doctoral researchers, academic and industrial researchers and
developers. The school will be open to about 100 qualified, motivated and
pre-selected candidates. The working language of the school is English.
Participation is free of charge, a limited number of travel/accommodation
grants will be provided.

To participate in the school, fill the application form at by June 25, 2017. In particular, you
need to provide the following information:

— Name, country of residence and affiliation.
— One paragraph description of what you expect to gain from attending
RuSSIR 2017.
— A short paper — up to two-page pdf document in English that describes
applicant’s early-stage, ongoing or completed research/educational
project. Research results published before and work in progress are
accepted. Format:
Short papers will be presented during poster sessions at RuSSIR 2017.
— Curriculum vitae.

There is also an option to apply for grants when completing the
application form.

Questions and inquiries are welcome at


The first RuSSIR took place in 2007 and since then has evolved into a
popular academic event with solid international participation. Previous
schools took place in Yekaterinburg, Taganrog, Petrozavodsk, Voronezh,
Yaroslavl, Kazan, Nizhny Novgorod, St. Petersburg, and Saratov. Courses
in previous editions of RuSSIR were taught by many prominent researchers
in information retrieval and related disciplines.


Yekaterinburg is a big modern city, located in the Urals, on the border
between Europe and Asia. Yekaterinburg is known for its vibrant music
scene and thriving contemporary art. Many IT companies are located here.
Yekaterinburg is the home city of Boris Yeltsin, the first president of
Russia; the Yeltsin Presidential Center opened in 2015 became a new
highlight of the city.

Ural Federal University (UrFU) is one of the top-ranked and largest
universities in Russia. UrFU has an old tradition of education and
research in computer science; the university’s team has a good record in
ACM ICPC series.


Об авторе Лидия Пивоварова

СПбГУ - старший преподаватель, University of Helsinki - PhD student
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