In addition to the vacancies we announced a few days ago, we just opened another vacancy, this time for a PhD student to work on dataset search. Come and join us to do research at the interface of AI & IR, together with great colleagues at Elsevier, VU Amsterdam and KNAW. See http://www.uva.nl/shared-content/uva/en/vacancies/2018/06/18-344-phd-candidate-in-academic-search.html for more details.
The Information and Language Processing Systems group is part of the Informatics Institute of the University of Amsterdam. Our research is aimed at intelligent information access, especially in the face of massive amounts of information. We work on finding and analyzing content (information retrieval, machine translation, language technology), the analysis of structural information (social networks, linked data) and the analysis of user behavior (self-learning search, log analysis, user studies).
We combine fundamental, experimental and applied research, and we do so using a broad range of textual data, data from the web or enterprises, edited or user generated, or obtained from (automatic) transcriptions of audio or video. We are involved in a large number of projects with other groups, both within and outside academia. Our research is funded by NWO, KNAW, the EU and through a range of public-private partnerships.
This Friday we’ll have two talks followed by drinks. Our industrial speaker is Dyaa Albakour, data scientist at Signal Media. He will talk about searching to be entertained at RTL. Our academic speaker is Thijs Scheepers, assistant Professor at the University of Amsterdam. He will talk about accessing city councils using exploratory search systems.
Many congratulations to ILPS-er Evangelos Kanoulas for obtaining a VIDI personal grant on Conversational Search Engines. See http://www.uva.nl/en/content/news/news/2018/06/vidi-grant-awarded-to-11-uva-researchers.html for more details.
We’ve got three vacancies, with more coming over the next months:
This Friday we’ll have two talks followed by drinks. Our industrial speaker is Daan Odijk, the lead data scientist at RTL. He will talk about searching to be entertained at RTL. Our academic speaker is Thijs Scheepers, recent MSc. AI graduate from the University of Amsterdam. He will talk about improving word embedding compositionality using lexicographic definitions.
This edition of SEA is in partnership with FNWI. As usual we will have two talks followed by drinks. Our industrial speaker is Wouter Alink, a Search Engine Architect at Spinque. He will talk about the search engine design process at Spinque. Our academic speaker is Julia Kiseleva, Postdoctoral Researcher at the University of Amsterdam. She will talk about optimizing interactive systems with data-driven objectives.
Maarten de Rijke is one of the recipients of the Google Faculty Research Award 2017. The reward will support research on conversational search, and in particular on reinforcement learning techniques that help yield better responses to users’ information needs in an interactive setting. The work will be carried out with Ziming Li and Julia Kiseleva. Out of 1033 proposals to the Google Faculty Research Award program, 152 were funded.
ILPS-ers are involved with several upcoming workshops at SIGIR 2018:
- Julia Kiseleva is one of the organizers of CAIR’18: Conversational Approaches to Information Retrieval, https://sites.google.com/view/cair-ws/cair-2018
- Maarten de Rijke is one of the organizers of DATA:SEARCH’18: Searching Data on the Web, https://datasearch-ws.github.io/2018/
- Mostafa Dehghani is one of the organizers of Learning from Limited/Noisy data for IR, http://lnd4ir.github.io
In addition, former ILPS-ers Edgar Meij and Jiyin He are co-organizers of the following SIGIR 2018 workshops, respectively:
This edition of SEA is in partnership with FNWI. As usual we will have two talks: one academic and one industry talk, followed by drinks. Our industrial speaker is Lucas Bernardi, a Data Scientist at Booking.com. He will talk about recommender systems at Booking.com. Our academic speaker is Anna Sepilarskaia, a PhD student at the University of Amsterdam. She will talk about an approach for addressing the new user cold-start problem in recommender systems.
As part of the recently launched collaboration between Amsterdam Data Science and the Insight Centre for Data Analytics (Ireland), Sapna Negi is visiting the Information and Language Processing Systems Group at UvA for 3 months. Sapna is a PhD student in the NLP team at Insight Centre for Data Analytics @ NUI Galway and works on mining suggestions from reviews and other social media content.