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 2020: Workshop on Advanced Analytics and Learning on Temporal Data. Springer, September 2020. Bibtex, PDF
    @inproceedings{ariannezhad-2020-demand,
    Author = {Ariannezhad, Mozhdeh and Schelter, Sebastian and de Rijke, Maarten},
    Booktitle = {AALTD 2020: Workshop on Advanced Analytics and Learning on Temporal Data},
    Date-Added = {2020-07-16 18:11:34 +0200},
    Date-Modified = {2020-07-16 22:07:07 +0200},
    Month = {September},
    Publisher = {Springer},
    Title = {Demand Forecasting in the Presence of Privileged Information},
    Year = {2020}}
  • Jin Huang, Harrie Oosterhuis, Maarten de Rijke, and Herke van Hoof. Keeping Dataset Biases out of the Simulation: A Debiased Simulator for Reinforcement Learning based Recommender Systems. In RecSys 2020: The ACM Conference on Recommender Systems, page 190–199. ACM, September 2020. Bibtex, PDF
    @inproceedings{huang-2020-keeping,
    Author = {Huang, Jin and Oosterhuis, Harrie and de Rijke, Maarten and van Hoof, Herke},
    Booktitle = {RecSys 2020: The ACM Conference on Recommender Systems},
    Date-Added = {2020-07-23 08:03:19 +0200},
    Date-Modified = {2020-09-19 09:47:04 +0200},
    Month = {September},
    Pages = {190--199},
    Publisher = {ACM},
    Title = {Keeping Dataset Biases out of the Simulation: A Debiased Simulator for Reinforcement Learning based Recommender Systems},
    Year = {2020}}
  • Chang Li, Haoyun Feng, and Maarten de Rijke. Cascading Hybrid Bandits: Online Learning to Rank for Relevance and Diversity. In RecSys 2020: The ACM Conference on Recommender Systems, page 33–42. ACM, September 2020. Bibtex, PDF
    @inproceedings{li-2020-cascading,
    Author = {Li, Chang and Feng, Haoyun and de Rijke, Maarten},
    Booktitle = {RecSys 2020: The ACM Conference on Recommender Systems},
    Date-Added = {2020-07-23 07:41:55 +0200},
    Date-Modified = {2020-09-19 09:46:34 +0200},
    Month = {September},
    Pages = {33--42},
    Publisher = {ACM},
    Title = {Cascading Hybrid Bandits: Online Learning to Rank for Relevance and Diversity},
    Year = {2020}}
  • Harrie Oosterhuis and Maarten de Rijke. Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for Ranking. In ICTIR 2020: The 6th ACM International Conference on the Theory of Information Retrieval, page 137–144. ACM, September 2020. Bibtex, PDF
    @inproceedings{oosterhuis-2020-taking,
    Author = {Oosterhuis, Harrie and de Rijke, Maarten},
    Booktitle = {ICTIR 2020: The 6th ACM International Conference on the Theory of Information Retrieval},
    Date-Added = {2020-06-30 10:31:31 +0200},
    Date-Modified = {2020-09-15 06:54:46 +0200},
    Month = {September},
    Pages = {137--144},
    Publisher = {ACM},
    Title = {Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for Ranking},
    Year = {2020}}
  • Chuan Wu, Evangelos Kanoulas, and Maarten de Rijke. It All Starts with Entities: A Salient Entity Topic Model. Natural Language Engineering, 26(5):531–549, September 2020. Bibtex, PDF
    @article{wu-2020-all,
    Author = {Wu, Chuan and Kanoulas, Evangelos and de Rijke, Maarten},
    Date-Added = {2018-09-21 10:00:04 +0200},
    Date-Modified = {2020-08-12 06:43:39 +0200},
    Journal = {Natural Language Engineering},
    Month = {September},
    Number = {5},
    Pages = {531--549},
    Title = {It All Starts with Entities: A Salient Entity Topic Model},
    Volume = {26},
    Year = {2020}}

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 conditioned on inferred or detected task and intent, as part of the Discovery Lab. For details, please visit https://www.uva.nl/en/content/vacancies/2020/08/20-470-phd-position-on-task-based-question-answering.html. The deadline is September 15, 2020.

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, Birna van Riemsdijk, Aimee van Wynsberghe, Rineke Verbrugge, Bart Verheij, Piek Vossen, and Max Welling. A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence. Computer, 53(08):18-28, August 2020. Bibtex, PDF
    @article{akata-2020-research,
    Author = {Akata, Zeynep and Balliet, Dan and de Rijke, Maarten and Dignum, Frank and Dignum, Virginia and Eiben, Guszti and Fokkens, Antske and Grossi, Davide and Hindriks, Koen and Hoos, Holger and Hung, Haley and Jonker, Catholijn and Monz, Christof and Neerincx, Mark and Oliehoek, Frans and Prakken, Henri and Schlobach, Stefan and van der Gaag, Linda and van Harmelen, Frank and van Hoof, Herke and van Riemsdijk, Birna and van Wynsberghe, Aimee and Verbrugge, Rineke and Verheij, Bart and Vossen, Piek and Welling, Max},
    Date-Added = {2020-08-11 21:26:55 +0200},
    Date-Modified = {2020-08-11 21:30:19 +0200},
    Journal = {Computer},
    Month = {August},
    Number = {08},
    Pages = {18-28},
    Title = {A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence},
    Volume = {53},
    Year = {2020},
    Bdsk-Url-1 = {https://doi.org/10.1109/MC.2020.2996587}}
  • Yifan Chen, Yang Wang, Xiang Zhao, Jie Zou, and Maarten de Rijke. Block-aware Item Similarity Models for Top-$N$ Recommendation. ACM Transactions on Information Systems, 38(4):Article 42, September 2020. Bibtex, PDF
    @article{chen-2020-block-aware,
    Author = {Chen, Yifan and Wang, Yang and Zhao, Xiang and Zou, Jie and de Rijke, Maarten},
    Date-Added = {2019-12-07 08:29:15 +0100},
    Date-Modified = {2020-09-11 07:41:45 +0200},
    Journal = {ACM Transactions on Information Systems},
    Month = {September},
    Number = {4},
    Pages = {Article 42},
    Title = {Block-aware Item Similarity Models for Top-$N$ Recommendation},
    Volume = {38},
    Year = {2020}}
  • Chang Li, Ilya Markov, Maarten de Rijke, and Masrour Zoghi. MergeDTS: A Method for Effective Large-scale Online Ranker Evaluation. ACM Transactions on Information Systems, 38(4):Article 40, September 2020. Bibtex, PDF
    @article{li-2020-mergedts,
    Author = {Li, Chang and Markov, Ilya and de Rijke, Maarten and Zoghi, Masrour},
    Date-Added = {2018-12-01 09:14:01 +0100},
    Date-Modified = {2020-09-11 07:42:03 +0200},
    Journal = {ACM Transactions on Information Systems},
    Month = {September},
    Number = {4},
    Pages = {Article 40},
    Title = {MergeDTS: A Method for Effective Large-scale Online Ranker Evaluation},
    Volume = {38},
    Year = {2020}}
  • Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, and Maarten de Rijke. Explainable Fashion Recommendation with Joint Outfit Matching and Comment Generation. IEEE Transactions on Knowledge and Data Engineering, 32(8):1502–1516, August 2020. Bibtex, PDF
    @article{lin-2020-explainable,
    Author = {Lin, Yujie and Ren, Pengjie and Chen, Zhumin and Ren, Zhaochun and Ma, Jun and de Rijke, Maarten},
    Date-Added = {2018-06-19 19:07:42 +0000},
    Date-Modified = {2020-07-09 07:23:00 +0200},
    Journal = {IEEE Transactions on Knowledge and Data Engineering},
    Month = {August},
    Number = {8},
    Pages = {1502--1516},
    Title = {Explainable Fashion Recommendation with Joint Outfit Matching and Comment Generation},
    Volume = {32},
    Year = {2020}}

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 can contribute to these questions as part of the Hybrid Intelligence project. For details, please visit https://www.uva.nl/en/content/vacancies/2020/07/20-458-phd-position-on-explainable-de-biasing-in-learning-from-interactions.html Deadline: August 31, 2020.

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 and AI ecosystem, with Amsterdam Data Science (ADS) and the Innovation Center for AI (ICAI). Check out the University’s vacancies at https://www.uva.nl/en/about-the-uva/working-at-the-uva/vacancies/vacancies.html

New publications

It’s July, it’s the month of SIGIR, so several publications will come out this month:

  • Mariya Hendriksen, Ernst Kuiper, Pim Nauts, Sebastian Schelter, and Maarten de Rijke. Analyzing and Predicting Purchase Intent in E-commerce: Anonymous vs. Identified Customers. In eCOM 2020: The 2020 SIGIIR Workshop on eCommerce. ACM, July 2020. Bibtex, PDF
    @inproceedings{hendriksen-2020-analyzing,
    Author = {Hendriksen, Mariya and Kuiper, Ernst and Nauts, Pim and Schelter, Sebastian and de Rijke, Maarten},
    Booktitle = {eCOM 2020: The 2020 SIGIIR Workshop on eCommerce},
    Date-Added = {2020-07-13 05:40:42 +0200},
    Date-Modified = {2020-07-13 05:42:59 +0200},
    Month = {July},
    Publisher = {ACM},
    Title = {Analyzing and Predicting Purchase Intent in E-commerce: Anonymous vs. Identified Customers},
    Year = {2020}}
  • Rolf Jagerman and Maarten de Rijke. Accelerated Convergence for Counterfactual Learning to Rank. In SIGIR 2020: 43rd international ACM SIGIR conference on Research and Development in Information Retrieval, page 469–478. ACM, July 2020. Bibtex, PDF
    @inproceedings{jagerman-2020-accelerated,
    Author = {Jagerman, Rolf and de Rijke, Maarten},
    Booktitle = {SIGIR 2020: 43rd international ACM SIGIR conference on Research and Development in Information Retrieval},
    Date-Added = {2020-04-23 08:49:46 +0200},
    Date-Modified = {2020-08-13 19:33:41 +0200},
    Month = {July},
    Pages = {469--478},
    Publisher = {ACM},
    Title = {Accelerated Convergence for Counterfactual Learning to Rank},
    Year = {2020}}
  • Wenqiang Lei, Xiangnan He, Maarten de Rijke, and Tat-Seng Chua. Conversational Recommendation: Formulation, Methods, and Evaluation. In SIGIR 2020: 43rd international ACM SIGIR conference on Research and Development in Information Retrieval. ACM, July 2020. Bibtex, PDF
    @inproceedings{lei-2020-conversational,
    Author = {Lei, Wenqiang and He, Xiangnan and de Rijke, Maarten and Chua, Tat-Seng},
    Booktitle = {SIGIR 2020: 43rd international ACM SIGIR conference on Research and Development in Information Retrieval},
    Date-Added = {2020-04-23 07:58:06 +0200},
    Date-Modified = {2020-04-23 07:59:15 +0200},
    Month = {July},
    Publisher = {ACM},
    Title = {Conversational Recommendation: Formulation, Methods, and Evaluation},
    Year = {2020}}
  • Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Dongxiao Yu, Jun Ma, Maarten de Rijke, and Xiuzhen Cheng. Meta Matrix Factorization for Federated Rating Predictions. In SIGIR 2020: 43rd international ACM SIGIR conference on Research and Development in Information Retrieval, page 981–990. ACM, July 2020. Bibtex, PDF
    @inproceedings{lin-2020-meta,
    Author = {Lin, Yujie and Ren, Pengjie and Chen, Zhumin and Ren, Zhaochun and Yu, Dongxiao and Ma, Jun and de Rijke, Maarten and Cheng, Xiuzhen},
    Booktitle = {SIGIR 2020: 43rd international ACM SIGIR conference on Research and Development in Information Retrieval},
    Date-Added = {2020-04-23 08:51:36 +0200},
    Date-Modified = {2020-08-13 19:34:46 +0200},
    Month = {July},
    Pages = {981--990},
    Publisher = {ACM},
    Title = {Meta Matrix Factorization for Federated Rating Predictions},
    Year = {2020}}
  • Chuan Meng, Pengjie Ren, Zhumin Chen, Weiwei Sun, Zhaochun Ren, Zhaopeng Tu, and Maarten de Rijke. DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation. In SIGIR 2020: 43rd international ACM SIGIR conference on Research and Development in Information Retrieval, page 1151–1160. ACM, July 2020. Bibtex, PDF
    @inproceedings{meng-2020-dukenet,
    Author = {Meng, Chuan and Ren, Pengjie and Chen, Zhumin and Sun, Weiwei and Ren, Zhaochun and Tu, Zhaopeng and de Rijke, Maarten},
    Booktitle = {SIGIR 2020: 43rd international ACM SIGIR conference on Research and Development in Information Retrieval},
    Date-Added = {2020-04-23 08:53:11 +0200},
    Date-Modified = {2020-08-13 19:35:05 +0200},
    Month = {July},
    Pages = {1151--1160},
    Publisher = {ACM},
    Title = {DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation},
    Year = {2020}}
  • Harrie Oosterhuis and Maarten de Rijke. Policy-Aware Unbiased Learning to Rank for Top-k Rankings. In SIGIR 2020: 43rd international ACM SIGIR conference on Research and Development in Information Retrieval, page 489–498. ACM, July 2020. Bibtex, PDF
    @inproceedings{oosterhuis-2020-policy-aware,
    Author = {Oosterhuis, Harrie and de Rijke, Maarten},
    Booktitle = {SIGIR 2020: 43rd international ACM SIGIR conference on Research and Development in Information Retrieval},
    Date-Added = {2020-04-23 21:52:52 +0200},
    Date-Modified = {2020-08-13 19:35:25 +0200},
    Month = {July},
    Pages = {489--498},
    Publisher = {ACM},
    Title = {Policy-Aware Unbiased Learning to Rank for Top-k Rankings},
    Year = {2020}}
  • Zhiqiang Pan, Fei Cai, Yanxiang Ling, and Maarten de Rijke. An Intent-guided Collaborative Machine for Session-based Recommendation. In SIGIR 2020: 43rd international ACM SIGIR conference on Research and Development in Information Retrieval, page 1833–1836. ACM, July 2020. Bibtex, PDF
    @inproceedings{pan-2020-intent-guided,
    Author = {Pan, Zhiqiang and Cai, Fei and Ling, Yanxiang and de Rijke, Maarten},
    Booktitle = {SIGIR 2020: 43rd international ACM SIGIR conference on Research and Development in Information Retrieval},
    Date-Added = {2020-04-23 08:59:25 +0200},
    Date-Modified = {2020-08-13 19:36:13 +0200},
    Month = {July},
    Pages = {1833--1836},
    Publisher = {ACM},
    Title = {An Intent-guided Collaborative Machine for Session-based Recommendation},
    Year = {2020}}
  • Zhiqiang Pan, Fei Cai, Yanxiang Ling, and Maarten de Rijke. Rethinking Item Importance in Session-based Recommendation. In SIGIR 2020: 43rd international ACM SIGIR conference on Research and Development in Information Retrieval, page 1837–1840. ACM, July 2020. Bibtex, PDF
    @inproceedings{pan-2020-rethinking,
    Author = {Pan, Zhiqiang and Cai, Fei and Ling, Yanxiang and de Rijke, Maarten},
    Booktitle = {SIGIR 2020: 43rd international ACM SIGIR conference on Research and Development in Information Retrieval},
    Date-Added = {2020-04-23 09:01:41 +0200},
    Date-Modified = {2020-08-13 19:35:50 +0200},
    Month = {July},
    Pages = {1837--1840},
    Publisher = {ACM},
    Title = {Rethinking Item Importance in Session-based Recommendation},
    Year = {2020}}
  • Fatemeh Sarvi, Nikos Voskarides, Lois Mooiman, Sebastian Schelter, and Maarten de Rijke. A Comparison of Supervised Learning to Match Methods for Product Search. In eCOM 2020: The 2020 SIGIIR Workshop on eCommerce. ACM, July 2020. Bibtex, PDF
    @inproceedings{sarvi-2020-comparison,
    Author = {Sarvi, Fatemeh and Voskarides, Nikos and Mooiman, Lois and Schelter, Sebastian and de Rijke, Maarten},
    Booktitle = {eCOM 2020: The 2020 SIGIIR Workshop on eCommerce},
    Date-Added = {2020-07-13 05:34:59 +0200},
    Date-Modified = {2020-07-13 05:39:22 +0200},
    Month = {July},
    Publisher = {ACM},
    Title = {A Comparison of Supervised Learning to Match Methods for Product Search},
    Year = {2020}}
  • Anton Steenvoorden, Emanuele Di Gloria, Wanyu Chen, Pengjie Ren, and Maarten de Rijke. Attribute-aware Diversification for Sequential Recommendations. In AIIS: The SIGIR 2020 Workshop on Applied Interactive Information Systems. ACM, July 2020. Bibtex, PDF
    @inproceedings{steenvoorden-2020-attribute-aware,
    Author = {Steenvoorden, Anton and Di Gloria, Emanuele and Chen, Wanyu and Ren, Pengjie and de Rijke, Maarten},
    Booktitle = {AIIS: The SIGIR 2020 Workshop on Applied Interactive Information Systems},
    Date-Added = {2020-06-13 22:17:48 +0200},
    Date-Modified = {2020-07-30 10:30:24 +0200},
    Month = {July},
    Publisher = {ACM},
    Title = {Attribute-aware Diversification for Sequential Recommendations},
    Year = {2020}}
  • Svitlana Vakulenko, Evangelos Kanoulas, and Maarten de Rijke. An Analysis of Mixed Initiative and Collaboration in Information-Seeking Dialogues. In SIGIR 2020: 43rd international ACM SIGIR conference on Research and Development in Information Retrieval, page 2085–2088. ACM, July 2020. Bibtex, PDF
    @inproceedings{vakulenko-2020-analysis,
    Author = {Vakulenko, Svitlana and Kanoulas, Evangelos and de Rijke, Maarten},
    Booktitle = {SIGIR 2020: 43rd international ACM SIGIR conference on Research and Development in Information Retrieval},
    Date-Added = {2020-04-23 09:02:17 +0200},
    Date-Modified = {2020-08-13 19:37:55 +0200},
    Month = {July},
    Pages = {2085--2088},
    Publisher = {ACM},
    Title = {An Analysis of Mixed Initiative and Collaboration in Information-Seeking Dialogues},
    Year = {2020}}
  • Ali Vardasbi, Maarten de Rijke, and Ilya Markov. Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank. In SIGIR 2020: 43rd international ACM SIGIR conference on Research and Development in Information Retrieval, page 2089–2092. ACM, July 2020. Bibtex, PDF
    @inproceedings{vardasbi-2020-cascade,
    Author = {Vardasbi, Ali and de Rijke, Maarten and Markov, Ilya},
    Booktitle = {SIGIR 2020: 43rd international ACM SIGIR conference on Research and Development in Information Retrieval},
    Date-Added = {2020-04-23 09:27:55 +0200},
    Date-Modified = {2020-08-13 19:38:21 +0200},
    Month = {July},
    Pages = {2089--2092},
    Publisher = {ACM},
    Title = {Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank},
    Year = {2020}}
  • Nikos Voskarides, Dan Li, Pengjie Ren, Evangelos Kanoulas, and Maarten de Rijke. Query Resolution for Conversational Search with Limited Supervision. In SIGIR 2020: 43rd international ACM SIGIR conference on Research and Development in Information Retrieval, page 921–932. ACM, July 2020. Bibtex, PDF
    @inproceedings{voskarides-2020-query,
    Author = {Voskarides, Nikos and Li, Dan and Ren, Pengjie and Kanoulas, Evangelos and de Rijke, Maarten},
    Booktitle = {SIGIR 2020: 43rd international ACM SIGIR conference on Research and Development in Information Retrieval},
    Date-Added = {2020-04-23 09:29:00 +0200},
    Date-Modified = {2020-08-13 19:38:48 +0200},
    Month = {July},
    Pages = {921--932},
    Publisher = {ACM},
    Title = {Query Resolution for Conversational Search with Limited Supervision},
    Year = {2020}}
  • Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jian-Yun Nie, Jun Ma, and Maarten de Rijke. Coding Electronic Health Records with Adversarial Reinforcement Path Generation. In SIGIR 2020: 43rd international ACM SIGIR conference on Research and Development in Information Retrieval, page 801–810. ACM, July 2020. Bibtex, PDF
    @inproceedings{wang-2020-coding,
    Author = {Wang, Shanshan and Ren, Pengjie and Chen, Zhumin and Ren, Zhaochun and Nie, Jian-Yun and Ma, Jun and de Rijke, Maarten},
    Booktitle = {SIGIR 2020: 43rd international ACM SIGIR conference on Research and Development in Information Retrieval},
    Date-Added = {2020-04-23 09:33:42 +0200},
    Date-Modified = {2020-08-13 19:39:27 +0200},
    Month = {July},
    Pages = {801--810},
    Publisher = {ACM},
    Title = {Coding Electronic Health Records with Adversarial Reinforcement Path Generation},
    Year = {2020}}
  • Xiaohui Xie, Jiaxin Mao, Yiqun Liu, and Maarten de Rijke. Modeling User Behavior for Vertical Search: Images, Apps and Products. In SIGIR 2020: 43rd international ACM SIGIR conference on Research and Development in Information Retrieval. ACM, July 2020. Bibtex, PDF
    @inproceedings{xie-2020-modeling,
    Author = {Xie, Xiaohui and Mao, Jiaxin and Liu, Yiqun and de Rijke, Maarten},
    Booktitle = {SIGIR 2020: 43rd international ACM SIGIR conference on Research and Development in Information Retrieval},
    Date-Added = {2020-04-23 07:54:32 +0200},
    Date-Modified = {2020-04-23 07:57:53 +0200},
    Month = {July},
    Publisher = {ACM},
    Title = {Modeling User Behavior for Vertical Search: Images, Apps and Products},
    Year = {2020}}
  • Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke, Haitian Chen, Min Zhang, and Shaoping Ma. Preference-based Evaluation Metrics for Web Image Search. In SIGIR 2020: 43rd international ACM SIGIR conference on Research and Development in Information Retrieval, page 369–378. ACM, July 2020. Bibtex, PDF
    @inproceedings{xie-2020-preference-based,
    Author = {Xie, Xiaohui and Mao, Jiaxin and Liu, Yiqun and de Rijke, Maarten and Chen, Haitian and Zhang, Min and Ma, Shaoping},
    Booktitle = {SIGIR 2020: 43rd international ACM SIGIR conference on Research and Development in Information Retrieval},
    Date-Added = {2020-04-23 09:30:19 +0200},
    Date-Modified = {2020-08-13 19:40:02 +0200},
    Month = {July},
    Pages = {369--378},
    Publisher = {ACM},
    Title = {Preference-based Evaluation Metrics for Web Image Search},
    Year = {2020}}

New publications

Some new papers that are scheduled to come out this month:

  • Maurits Bleeker and Maarten de Rijke. Bidirectional Scene Text Recognition with a Single Decoder. In 24th European Conference on Artificial Intelligence. IOS Press, June 2020. Bibtex, PDF
    @inproceedings{bleeker-2020-bidirectional,
    Author = {Bleeker, Maurits and de Rijke, Maarten},
    Booktitle = {24th European Conference on Artificial Intelligence},
    Date-Added = {2020-01-14 20:43:50 +0100},
    Date-Modified = {2020-01-14 20:45:45 +0100},
    Month = {June},
    Publisher = {IOS Press},
    Title = {Bidirectional Scene Text Recognition with a Single Decoder},
    Year = {2020}}
  • Wanyu Chen, Fei Cai, Honghui Chen, and Maarten de Rijke. Personalized Query Suggestion Diversification in Information Retrieval. Frontiers of Computer Science, 14(3), June 2020. Bibtex, PDF
    @article{chen-2020-personalized,
    Author = {Chen, Wanyu and Cai, Fei and Chen, Honghui and de Rijke, Maarten},
    Date-Added = {2017-08-13 04:36:27 +0000},
    Date-Modified = {2020-01-14 14:34:23 +0100},
    Journal = {Frontiers of Computer Science},
    Month = {June},
    Number = {3},
    Title = {Personalized Query Suggestion Diversification in Information Retrieval},
    Volume = {14},
    Year = {2020}}
  • Jiahuan Pei, Pengjie Ren, Christof Monz, and Maarten de Rijke. Retrospective and Prospective Mixture-of-Generators for Task-oriented Dialogue Response Generation. In 24th European Conference on Artificial Intelligence. IOS Press, June 2020. Bibtex, PDF
    @inproceedings{pei-2020-retrospective,
    Author = {Pei, Jiahuan and Ren, Pengjie and Monz, Christof and de Rijke, Maarten},
    Booktitle = {24th European Conference on Artificial Intelligence},
    Date-Added = {2020-01-14 20:45:49 +0100},
    Date-Modified = {2020-01-14 20:47:19 +0100},
    Month = {June},
    Publisher = {IOS Press},
    Title = {Retrospective and Prospective Mixture-of-Generators for Task-oriented Dialogue Response Generation},
    Year = {2020}}
  • Manos Tsagkias, Tracy Holloway King, Surya Kallumadi, Vanessa Murdock, and Maarten de Rijke. Challenges and Research Opportunities in eCommerce Search and Recommendations. SIGIR Forum, 54(1), June 2020. Bibtex, PDF
    @article{tsagkias-2020-challenges,
    Author = {Tsagkias, Manos and King, Tracy Holloway and Kallumadi, Surya and Murdock, Vanessa and de Rijke, Maarten},
    Date-Added = {2020-05-11 00:24:45 +0200},
    Date-Modified = {2020-05-11 00:30:51 +0200},
    Journal = {SIGIR Forum},
    Month = {June},
    Number = {1},
    Title = {Challenges and Research Opportunities in eCommerce Search and Recommendations},
    Volume = {54},
    Year = {2020}}

New 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 = {2020-09-11 07:43:02 +0200},
    Journal = {ACM Transactions on Information Systems},
    Month = {June},
    Number = {3},
    Pages = {Article 24},
    Title = {Safe Exploration for Optimizing Contextual Bandits},
    Volume = {38},
    Year = {2020}}
  • Chuan Wu, Evangelos Kanoulas, and Maarten de Rijke. Learning Entity-Centric Document Representations using an Entity Facet Topic Model. Information Processing & Management, 57(3), May 2020. Bibtex, PDF
    @article{wu-2020-learning,
    Author = {Wu, Chuan and Kanoulas, Evangelos and de Rijke, Maarten},
    Date-Added = {2018-09-30 08:12:13 +0200},
    Date-Modified = {2020-02-12 09:41:29 -0500},
    Journal = {Information Processing \& Management},
    Month = {May},
    Number = {3},
    Title = {Learning Entity-Centric Document Representations using an Entity Facet Topic Model},
    Volume = {57},
    Year = {2020}}
  • Chuan Wu, Evangelos Kanoulas, Maarten de Rijke, and Wei Lu. WN-Salience: A Corpus of News Articles with Entity Salience Annotations. In 12th International Conference on Language Resources and Evaluation, page 2088–2095. ELRA, May 2020. Bibtex, PDF
    @inproceedings{wu-2020-wn-salience,
    Author = {Wu, Chuan and Kanoulas, Evangelos and de Rijke, Maarten and Lu, Wei},
    Booktitle = {12th International Conference on Language Resources and Evaluation},
    Date-Added = {2020-02-12 04:49:47 -0500},
    Date-Modified = {2020-05-16 10:14:49 +0200},
    Month = {May},
    Pages = {2088--2095},
    Publisher = {ELRA},
    Title = {WN-Salience: A Corpus of News Articles with Entity Salience Annotations},
    Year = {2020}}

A new step

Many short-term actions are needed to help us through the current disruptions. As academics, if we can help to support processes that are important to keep society running, we should all step in. Immediately. But we should also look beyond today and continue to set and pursue long-term goals. 

Like many of us, I am in research because of the fascination that complex problems bring, because of the excitement of discovery and the satisfaction of creating new knowledge and of pushing innovation. For me, all of this is closely tied to working with PhD students and postdocs. 

For the last fifteen years I’ve been trying to do research, and encourage others to do research, at the interface of academia and society. The mantra is simple: try to do great science with great impact. For me personally, this has meant helping to set up startups, setting up joint projects with partners in industry and in local and national governments. It has also meant helping to build up Amsterdam Data Science and helping to get the national Innovation Center for Artificial Intelligence up and running.

The time has come for me to take a new step at the intersection of academia and society. As of today, I have joined Ahold Delhaize as Vice President Personalization and Relevance and as Senior Research Fellow, for two days a week. In this role I will focus on developing and deploying an applied research agenda in the domain of personalization and relevance, on boosting the research on personalization and relevance at Ahold Delhaize, on setting a research talent agenda, and, more generally, on helping to grow R&D throughout Ahold Delhaize.

My appointment at the University of Amsterdam has been reduced from five days per week to three days per week. During those three days I will continue in my role as University Professor. I will focus on supervising my PhD students and postdocs, and on my role as scientific director of the national Innovation Center for Artificial Intelligence.

Stay safe.

Schiet nou toch eens op. De tijd dringt

Vandaag presenteerde de EU haar “white paper” over AI in Europa. Samenvatting van mijn commentaar:

  • Zet veel duidelijker en veel ambitieuzer in op AI-talent — daar staat of valt alles mee.
  • Waarom geeft de EU de hoop over consumentendata op? Is consumentendata nou niet precies waar je het vertrouwen wint of verliest?
  • Beleidsmakers zijn voor de kaders en regelgeving: zij moeten zich niet bemoeien met de inhoud van de AI-wetenschap en AI-innovatie — dat moet je overlaten aan wetenschappers en ondernemers.
  • Het idee van één enkel “lighthouse” als Europees AI-centrum is slecht doordacht, geld verslindend, en staat sociaal-economische impact van AI-technologie in de weg.
  • Waarom wordt er wel gesproken van een netwerk van excellentie (4 pagina’s) en een netwerk van vertrouwen (16 pagina’s!), maar niet van een netwerk van kansen en uitdagingen? Is dat niet waar het begint?
  • Bovenal: doe nu eens wat!

Zie De Volkskrant

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