Category: Publications

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…

Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, and I published “Explainable Fashion Recommendation with Joint Outfit Matching and Comment Generation” on arXiv. Most previous work on fashion recommendation focuses on designing visual features to enhance recommendations. Existing work neglects user comments of fashion items, which have been proved effective in generating explanations…

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…

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…

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)….

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…

“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…

“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…