Catching up with some new publications that appeared recently or are about to appear: Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, and Tat-Seng Chua. Advances and Challenges in Conversational Recommender Systems: A Survey. arXiv preprint arXiv:2101.09459, January 2021. Bibtex, PDF, URL @article{gao-2021-advances-arxiv, author = {Gao, Chongming and Lei, Wenqiang and He, Xiangnan and…
Author: mdr
Come and Join Us at the IRLab
Come and work with us at the IRLab at the University of Amsterdam. Vacancies for fully funded PhD students, a research engineer, and an assistant professor. We will shortly open a vacancy for an assistant professor at the intersection of machine learning and information retrieval. Come and build your own team. Stay tuned. We will…
New publications
New publications that are scheduled to appear this month: Wanyu Chen, Fei Cai, Honghui Chen, and Maarten de Rijke. Hierarchical Neural Query Suggestion with an Attention Mechanism. Information Processing & Management, 57(6):Article 102040, November 2020. Bibtex, PDF @article{chen-2020-hierarchical, author = {Chen, Wanyu and Cai, Fei and Chen, Honghui and de Rijke, Maarten}, date-added = {2018-10-07…
New publications
New publications that are scheduled to appear this month: Wanyu Chen, Pengjie Ren, Fei Cai, Fei Sun, and Maarten de Rijke. Improving End-to-End Sequential Recommendations with Intent-aware Diversification. In CIKM 2020: 29th ACM International Conference on Information and Knowledge Management, page 175–184. ACM, October 2020. Bibtex, PDF @inproceedings{chen-2020-improving, author = {Chen, Wanyu and Ren, Pengjie…
New publications
New publications that are scheduled to appear this month: Mozhdeh Ariannezhad, Sebastian Schelter, and Maarten de Rijke. Demand Forecasting in the Presence of Privileged Information. In AALTD: International Workshop on Advanced Analytics and Learning on Temporal Data, LNCS 12588, pages 46-62. Springer, December 2020. Bibtex, PDF @inproceedings{ariannezhad-2020-demand, author = {Ariannezhad, Mozhdeh and Schelter, Sebastian and…
A New Team
As one of the research teams at the Informatics Institute, ILPS, the Information and Language Processing Systems group, has been around since April 1, 2004. During the past 16+ years, I have been fortunate enough enough to welcome, and work with, a large number of extremely talented PhD students, postdocs and staff members at ILPS….
Fully funded PhD position on task-based question answering
Interested in developing conversational systems that support scientific discovery? In question answering algorithms that are able to gather and synthesize complex answers in the task-based setting of a research platform? We have a fully funded PhD position in which you can develop neural models that can retrieve or generate answers from structured and unstructured resources…
New publications
Some new papers that are scheduled to appear this month: Zeynep Akata, Dan Balliet, Maarten de Rijke, Frank Dignum, Virginia Dignum, Guszti Eiben, Antske Fokkens, Davide Grossi, Koen Hindriks, Holger Hoos, Haley Hung, Catholijn Jonker, Christof Monz, Mark Neerincx, Frans Oliehoek, Henri Prakken, Stefan Schlobach, Linda van der Gaag, Frank van Harmelen, Herke van Hoof,…
Fully funded PhD position on explainable de-biasing in learning from interaction data
Modern search, recommendation and conversational systems learn from interactions with their users. Interested in developing new algorithms for learning from interaction data? In making this type of learning explainable? In removing bias from interaction data? And in making the de-biasing process as transparent as possible? We have a fully funded PhD position in which you…
Seven new positions at the assistant, associate and full professor level
We’re looking for new colleagues at the assistant, associate and full professor level. Come and join the Informatics Institute of the University of Amsterdam. Together with our colleagues from the Vrije Universiteit Amsterdam, the Center for Mathematics and Computer Science (CWI), and the Amsterdam University of Applied Science, we are growing an exciting data science…