We’ve just put three more papers on arXiv. Earlier in June, Sapna Negi, Paul Buitelaar, and I put “Open Domain Suggestion Mining: Problem Definition and Datasets” on arXiv. In the paper we propose a formal definition for the task of suggestion mining in the context of a wide range of open domain applications. Human perception…
Another IR vacancy
We just opened another vacancy, for a PhD student to work on dataset search. Come and join us to work in the area of AI & IR, together with great colleagues at Elsevier, VU Amsterdam and KNAW. See https://t.co/um5ldIQAZg for more details.
IR positions at the University of Amsterdam
We have several positions open at the interface of information retrieval, language technology and artificial intelligence, at different levels at the University of Amsterdam. PhD student language understanding and search, https://t.co/UHWkLC8HU7 Postdoc conversational search, https://t.co/RvkyONRy20 Assistant professor artificial intelligence & information retrieval, https://t.co/lxleTvv8P6 Feel free to contact me with any questions.
SIGIR 2018 papers online
The SIGIR 2018 papers that I contributed to are online now: Alexey Borisov, Martijn Wardenaar, Ilya Markov, and Maarten de Rijke. A Click Sequence Model for Web Search. In SIGIR 2018: 41st international ACM SIGIR conference on Research and Development in Information Retrieval, page 45–54. ACM, July 2018. Bibtex, PDF @inproceedings{borisov-click-2018, author = {Borisov, Alexey…
Hello World: Innovation Center for Artificial Intelligence
Yesterday, ICAI, the national Innovation Center for Artificial Intelligence, was launched. ICAI is a national initiative focused on joint technology development between academia and industry in the area of artificial intelligence. Artificial intelligence (AI) has become a key technology that is rapidly becoming a disruptor for all economic sectors. Given the impact, AI also generates…
Now on arXiv: Finding influential training samples for gradient boosted decision trees
Boris Sharchilev, Yury Ustinovsky, Pavel Serdyukov, and I have released a new pre-print on “finding influential training samples for gradient boosted decision trees” on arXiv. In the paper we address the problem of finding influential training samples for a particular case of tree ensemble-based models, e.g., Random Forest (RF) or Gradient Boosted Decision Trees (GBDT)….
Now on arXiv: Optimizing interactive systems with data-driven objectives
Ziming Li, Artem Grotov, Julia Kiseleva, Harrie Oosterhuis and I have just released a new preprint on “optimizing interactive systems with data-driven objectives” on arXiv. Effective optimization is essential for interactive systems to provide a satisfactory user experience. However, it is often challenging to find an objective to optimize for. Generally, such objectives are manually…
ICLR 2018 paper on Deep Learning with Logged Bandit Feedback online now
“Deep Learning with Logged Bandit Feedback” by Thorsten Joachims, Adith Swaminathan and Maarten de Rijke, to be published at ICLR 2018, is available online. In the paper we propose a new output layer for deep neural networks that permits the use of logged contextual bandit feedback for training. Such contextual bandit feedback can be available…
WWW 2018 paper on Manifold Learning for Rank Aggregation online
“Manifold Learning for Rank Aggregation” by Shangsong Liang, Ilya Markov, Zhaochun Ren, and Maarten de Rijke, which will be published at WWW 2018, is available online now. In the paper we address the task of fusing ranked lists of documents that are retrieved in response to a query. Past work on this task of rank…
JASIST paper “The birth of collective memories: Analyzing emerging entities in text streams” online
“The birth of collective memories: Analyzing emerging entities in text streams” by David Graus, Daan Odijk and Maarten de Rijke, to be published in the Journal of the Association for Information Science and Technology is online now at this location. In the paper we study how collective memories are formed online. We do so by…