At the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016) ILPS-er Alexey Borisov wins the Best Student Paper Award for “A context-aware time model for web search,” a joint publications by Alexey Borisov, Ilya Markov, Maarten de Rijke and Pavel Serdyukov.
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.
At the 24th ACM International Conference on User Modeling Adaptation and Personalization (UMAP 2016) ILPS-er David Graus wins the James Chen Best Student Paper Award for “Analyzing and Predicting Task Reminders”, a joint paper with Paul Bennett, Ryen White and Eric Horvitz.
- A Context-aware Time Model for Web Search. Alexey Borisov, Ilya Markov, Maarten de Rijke, Pavel Serdyukov
- Balancing Relevance Criteria through Multi-Objective Optimization. Joost van Doorn, Daan Odijk, Diederik M. Roijers, Maarten de Rijke
- Click-based Hot Fixes for Underperforming Torso Queries. Masrour Zoghi, Tomáš Tunys, Lihong Li, Damien Jose, Junyan Chen, Chun Ming Chin, Maarten de Rijke
- Evaluating Retrieval over Sessions: The TREC Session Track 2011-2014. Ben Carterette, Paul Clough, Mark Hall, Evangelos Kanoulas, Mark Sanderson
- Explainable User Clustering in Short Text Streams. Yukun Zhao, Shangsong Liang, Zhaochun Ren, Jun Ma, Emine Yilmaz, Maarten de Rijke
- Is This Your Final Answer? Evaluating the Effect of Answers on Good Abandonment in Mobile Search. Kyle Williams, Julia Kiseleva, Aidan C. Crook, Imed Zitouni, Ahmed Hassan Awadallah, Madian Khabsa
- Predicting User Satisfaction with Intelligent Assistants. Julia Kiseleva, Kyle Williams, Ahmed Hassan Awadallah, Aidan C. Crook, Imed Zitouni, Tasos Anastasakos
- Seeking Serendipity: A Living Lab Approach to Understanding Creative Retrieval in Broadcast Media Production. Sabrina Sauer, Maarten de Rijke
- Selectively Personalizing Query Auto-Completion. Fei Cai, Maarten de Rijke
- Using Sparse Coding for Answer Summarization in Non-Factoid Community Question-Answering. Zhaochun Ren, Hongya Song, Piji Li, Shangsong Liang, Jun Ma, Maarten de Rijke
We also co-organize a workshop:
- Workshop on Neural Information Retrieval (Neu-IR 2016), Nick Craswell, W. Bruce Croft, Maarten de Rijke, Jiafeng Guo, Bhaskar Mitra
- Online Learning to Rank for Information Retrieval, Artem Grotov, Maarten de Rijke
and contribute to the doctoral consortium:
- Measuring Interestingness of Political Documents, Hosein Azarbonyad
Finally, former ILPS-ers are heavily involved with the Industry Track (SIRIP):
- Industry Track (SIRIP), Jussi Karlgren, Gilad Mishne
- Building a Self-Learning Search Engine: From Research to Business, Manos Tsagkias, Wouter Weerkamp
and with one of the other workshops:
- Workshop on Search as Learning (SAL 2016), Jacek Gwizdka, Preben Hansen, Claudia Hauff, Jiyin He, Noriko Kando
As part of a collaborative project between the University of Amsterdam, the VU University Amsterdam, the Royal Netherlands Academy of Arts and Sciences, and Elsevier, we are looking to fill three fully funded PhD student positions in the area of academic search. Please visit the University’s vacancy page for details on the project and on how and where to apply.
To improve their services Blendle starts an exploratory cooperation with the UvA as academic partner. Together with ILPS-ers De Rijke and Sijaranamual they will work on optimizing Blendle’s search and recommendation facilities. In particular, the collaboration will use state-of-the-art methods for mining knowledge graphs and for online evaluation to improve the findability of Blendle’s articles.