Maarten de Rijke

“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…

Mix ‘n Match: Integrating Text Matching and Product Substitutability within Product Search by Christophe Van Gysel, Maarten de Rijke, and Evangelos Kanoulas is available online now at this location. Two products are substitutes if both can satisfy the same consumer need. Intrinsic incorporation of product substitutability—where substitutability is integrated within latent vector space models—is in…

The following RecSys 2018 paper on preference elicitation as an optimization problem is online now: Anna Sepliarskaia, Julia Kiseleva, Filip Radlinski, and Maarten de Rijke. Preference Elicitation as an Optimization Problem. In RecSys 2018: The ACM Conference on Recommender Systems, page 172–180. ACM, October 2018. Bibtex, PDF @inproceedings{sepliarskaia-preference-2018, author = {Sepliarskaia, Anna and Kiseleva, Julia…

The following ISWC 2018 paper on measuring semantic coherence of a conversation is online now: Svitlana Vakulenko, Maarten de Rijke, Michael Cochez, Vadim Savenkov, and Axel Polleres. Measuring Semantic Coherence of a Conversation. In ISWC 2018: 17th International Semantic Web Conference, page 634–651. Springer, October 2018. Bibtex, PDF @inproceedings{vakulenko-measuring-2018, author = {Vakulenko, Svitlana and de…