Category: Publications

Some new papers that are scheduled to come out this month: Rolf Jagerman, Ilya Markov, and Maarten de Rijke. Safe Exploration for Optimizing Contextual Bandits. ACM Transactions on Information Systems, 38(3):Article 24, June 2020. Bibtex, PDF @article{jagerman-2020-safe, author = {Jagerman, Rolf and Markov, Ilya and de Rijke, Maarten}, date-added = {2019-05-31 20:33:35 +0200}, date-modified =…

The papers that my team and I will be presenting at CIKM 2019 are online now:

Cascading non-stationary bandits: Online learning to rank in the non-stationary cascade model by Chang Li and Maarten de Rijke is online now at this location. In the paper, we argue that non-stationarity appears in many online applications such as web search and advertising. We study the online learning to rank problem in a non-stationary environment where user…

Here’s our harvest for SIGIR 2019, which is about to get started in less than 24 hours: Joris Baan, Maartje ter Hoeve, Marlies van der Wees, Anne Schuth, and Maarten de Rijke. Do Transformer Attention Heads Provide Transparency in Abstractive Summarization?. In FACTS-IR: SIGIR 2019 Workshop on Fairness, Accountability, Confidentiality, Transparency and Safety in Information…

“Incremental sparse Bayesian ordinal regression” by Chang Li and Maarten de Rijke has been published in the October 2018 issue of Neural Networks. See the journal’s site. Ordinal Regression (OR) aims to model the ordering information between different data categories, which is a crucial topic in multi-label learning. An important class of approaches to OR…

Web-based Startup Success Prediction by Boris Sharchilev, Michael Roizner, Andrey Rumyantsev, Denis Ozornin, Pavel Serdyukov, Maarten de Rijke is online now at this page. In the paper we consider the problem of predicting the success of startup companies at their early development stages. We formulate the task as predicting whether a company that has already…

Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots by Shaojie Jiang and Maarten de Rijke is available online now at this location. Diversity is a long-studied topic in information retrieval that usually refers to the requirement that retrieved results should be non-repetitive and cover different aspects. In a conversational setting, an…

Differentiable Unbiased Online Learning to Rank by Harrie Oosterhuis and Maarten de Rijke is available online now at this location. Online Learning to Rank (OLTR) methods optimize rankers based on user interactions. State-of-the-art OLTR methods are built specifically for linear models. Their approaches do not extend well to non-linear models such as neural networks. We…

Calibration: A Simple Way to Improve Click Models by Alexey Borisov, Julia Kiseleva, Ilya Markov, and Maarten de Rijke is available online now at this location. In the paper we show that click models trained with suboptimal hyperparameters suffer from the issue of bad calibration. This means that their predicted click probabilities do not agree…

Attentive Encoder-based Extractive Text Summarization by Chong Feng, Fei Cai, Honghui Chen, and Maarten de Rijke is available online now at this location. In previous work on text summarization, encoder-decoder architectures and attention mechanisms have both been widely used. Attention-based encoder-decoder approaches typically focus on taking the sentences preceding a given sentence in a document…