Artificial intelligence & Information retrieval

Author: mdr (Page 1 of 17)

Three Assistant Professorships in AI at the University of Amsterdam

Come and join us as an assistant professor in AI in Amsterdam. We have three vacancies with deadlines in the next couple of weeks:

Feel free to contact me if you have any questions about these positions or their context at the University of Amsterdam.

Fully funded PhD position

Want to pursue a PhD? Interested in developing machine learning methods for understanding and predicting diverse aspects (such as satisfaction and engagement) of online user behavior in the context of recommender systems? Please consider applying to a fully funded vacancy we have right now in the recently launched Mercury Machine Learning Lab, a collaboration between Booking.com, Delft University of Technology, and the University of Amsterdam.

You can find out more about the new Mercury Machine Learning Lab on this page. All the details on how apply to this position (and to one of the other positions that we have in the new lab) can be found here.

The deadline for applications is August 23, 2021.

If you have any questions, or would to like know more, feel free to reach out to me.

New publications

Catching up with the new publications for this month:

  • Kenneth Goei, Mariya Hendriksen, and Maarten de Rijke. Tackling Attribute Fine-grainedness in Cross-modal Fashion Search with Multi-level Features. In SIGIR 2021 Workshop on eCommerce. ACM, July 2021. Bibtex, PDF
    @inproceedings{goei-2021-tackling,
    author = {Goei, Kenneth and Hendriksen, Mariya and de Rijke, Maarten},
    booktitle = {SIGIR 2021 Workshop on eCommerce},
    date-added = {2021-06-24 20:57:09 +0200},
    date-modified = {2021-06-24 21:00:41 +0200},
    month = {July},
    publisher = {ACM},
    title = {Tackling Attribute Fine-grainedness in Cross-modal Fashion Search with Multi-level Features},
    year = {2021}}
  • Surya Kallumadi, Tracy Holloway King, Shervin Malmasi, and Maarten de Rijke. ECOM’21: The SIGIR 2021 Workshop on eCommerce. In SIGIR 2021: 44th international ACM SIGIR Conference on Research and Development in Information Retrieval, page 2685–2688. ACM, July 2021. Bibtex, PDF
    @inproceedings{kallumadi-2021-ecom,
    author = {Kallumadi, Surya and King, Tracy Holloway and Malmasi, Shervin and de Rijke, Maarten},
    booktitle = {SIGIR 2021: 44th international ACM SIGIR Conference on Research and Development in Information Retrieval},
    date-added = {2021-05-09 20:13:04 +0200},
    date-modified = {2021-07-17 10:51:34 +0200},
    month = {July},
    pages = {2685--2688},
    publisher = {ACM},
    title = {ECOM'21: The SIGIR 2021 Workshop on eCommerce},
    year = {2021}}
  • Ziming Li, Julia Kiseleva, and Maarten de Rijke. Improving Response Quality with Backward-reasoning in Open-domain Dialogue Systems. In SIGIR 2021: 44th international ACM SIGIR Conference on Research and Development in Information Retrieval, page 1940–1944. ACM, July 2021. Bibtex, PDF
    @inproceedings{li-2021-improving,
    author = {Li, Ziming and Kiseleva, Julia and de Rijke, Maarten},
    booktitle = {SIGIR 2021: 44th international ACM SIGIR Conference on Research and Development in Information Retrieval},
    date-added = {2021-04-15 13:03:16 +0200},
    date-modified = {2021-07-17 10:48:55 +0200},
    month = {July},
    pages = {1940--1944},
    publisher = {ACM},
    title = {Improving Response Quality with Backward-reasoning in Open-domain Dialogue Systems},
    year = {2021}}
  • Xiangsheng Li, Maarten de Rijke, Yiqun Liu, Jiaxin Mao, Weizhi Ma, Min Zhang, and Shaoping Ma. Investigating Session Search Behavior with Knowledge Graphs. In SIGIR 2021: 44th international ACM SIGIR Conference on Research and Development in Information Retrieval, page 1708–1712. ACM, July 2021. Bibtex, PDF
    @inproceedings{li-2021-investigating,
    author = {Li, Xiangsheng and de Rijke, Maarten and Liu, Yiqun and Mao, Jiaxin and Ma, Weizhi and Zhang, Min and Ma, Shaoping},
    booktitle = {SIGIR 2021: 44th international ACM SIGIR Conference on Research and Development in Information Retrieval},
    date-added = {2021-04-15 13:05:17 +0200},
    date-modified = {2021-07-17 10:48:36 +0200},
    month = {July},
    pages = {1708--1712},
    publisher = {ACM},
    title = {Investigating Session Search Behavior with Knowledge Graphs},
    year = {2021}}
  • Dongdong Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Miao Fan, Jun Ma, and Maarten de Rijke. Semi-supervised Variational Reasoning for Medical Dialogue Generation. In SIGIR 2021: 44th international ACM SIGIR Conference on Research and Development in Information Retrieval, page 544–554. ACM, July 2021. Bibtex, PDF
    @inproceedings{li-2021-semi-supservised,
    author = {Li, Dongdong and Ren, Zhaochun and Ren, Pengjie and Chen, Zhumin and Fan, Miao and Ma, Jun and de Rijke, Maarten},
    booktitle = {SIGIR 2021: 44th international ACM SIGIR Conference on Research and Development in Information Retrieval},
    date-added = {2021-04-14 16:58:50 +0200},
    date-modified = {2021-07-17 10:48:18 +0200},
    month = {July},
    pages = {544--554},
    publisher = {ACM},
    title = {Semi-supervised Variational Reasoning for Medical Dialogue Generation},
    year = {2021}}
  • Hongyu Lu, Weizhi Ma, Min Zhang, Maarten de Rijke, Yiqun Liu, and Shaoping Ma. Standing in Your Shoes: External Assessments for Personalized Recommender Systems. In SIGIR 2021: 44th international ACM SIGIR Conference on Research and Development in Information Retrieval, page 1523–1533. ACM, July 2021. Bibtex, PDF
    @inproceedings{lu-2021-standing,
    author = {Lu, Hongyu and Ma, Weizhi and Zhang, Min and de Rijke, Maarten and Liu, Yiqun and Ma, Shaoping},
    booktitle = {SIGIR 2021: 44th international ACM SIGIR Conference on Research and Development in Information Retrieval},
    date-added = {2021-04-14 16:52:40 +0200},
    date-modified = {2021-07-17 10:49:08 +0200},
    month = {July},
    pages = {1523--1533},
    publisher = {ACM},
    title = {Standing in Your Shoes: External Assessments for Personalized Recommender Systems},
    year = {2021}}
  • Ana Lucic, Harrie Oosterhuis, Hinda Haned, and Maarten de Rijke. Flexible Interpretability through Optimizable Counterfactual Explanations for Tree Ensembles. In ICML 2021 Workshop on Socially Responsible Machine Learning, July 2021. Bibtex
    @inproceedings{lucic-2021-flexible-icml,
    author = {Lucic, Ana and Oosterhuis, Harrie and Haned, Hinda and de Rijke, Maarten},
    booktitle = {ICML 2021 Workshop on Socially Responsible Machine Learning},
    date-added = {2021-07-11 22:10:12 +0200},
    date-modified = {2021-07-11 22:11:56 +0200},
    month = {July},
    title = {Flexible Interpretability through Optimizable Counterfactual Explanations for Tree Ensembles},
    year = {2021}}
  • Chuan Meng, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Tengxiao Xi, and Maarten de Rijke. Initiative-Aware Self-Supervised Learning for Knowledge-Grounded Conversations. In SIGIR 2021: 44th international ACM SIGIR Conference on Research and Development in Information Retrieval, page 522–532. ACM, July 2021. Bibtex, PDF
    @inproceedings{meng-2021-initiative-aware,
    author = {Meng, Chuan and Ren, Pengjie and Chen, Zhumin and Ren, Zhaochun and Xi, Tengxiao and de Rijke, Maarten},
    booktitle = {SIGIR 2021: 44th international ACM SIGIR Conference on Research and Development in Information Retrieval},
    date-added = {2021-04-14 16:49:08 +0200},
    date-modified = {2021-07-17 10:49:25 +0200},
    month = {July},
    pages = {522--532},
    publisher = {ACM},
    title = {Initiative-Aware Self-Supervised Learning for Knowledge-Grounded Conversations},
    year = {2021}}
  • Pengjie Ren, Zhongkun Liu, Xiaomeng Song, Hongtao Tian, Zhumin Chen, Zhaochun Ren, and Maarten de Rijke. Wizard of Search Engine: Access to Information Through Conversations with Search Engines. In SIGIR 2021: 44th international ACM SIGIR Conference on Research and Development in Information Retrieval, page 533–543. ACM, July 2021. Bibtex, PDF
    @inproceedings{ren-2021-wizard,
    author = {Ren, Pengjie and Liu, Zhongkun and Song, Xiaomeng and Tian, Hongtao and Chen, Zhumin and Ren, Zhaochun and de Rijke, Maarten},
    booktitle = {SIGIR 2021: 44th international ACM SIGIR Conference on Research and Development in Information Retrieval},
    date-added = {2021-04-14 16:50:57 +0200},
    date-modified = {2021-07-17 10:49:41 +0200},
    month = {July},
    pages = {533--543},
    publisher = {ACM},
    title = {Wizard of Search Engine: Access to Information Through Conversations with Search Engines},
    year = {2021}}
  • Anna Sepliarskaia, Sahika Genc, and Maarten de Rijke. A Deep Reinforcement Learning-Based Approach to Query-Free Interactive Target Item Retrieval. In SIGIR 2021 Workshop on eCommerce, ACM, July 2021. Bibtex, PDF
    @inproceedings{sepliarskaia-2021-deep,
    address = {ACM},
    author = {Sepliarskaia, Anna and Genc, Sahika and de Rijke, Maarten},
    booktitle = {SIGIR 2021 Workshop on eCommerce},
    date-added = {2021-06-24 20:57:03 +0200},
    date-modified = {2021-06-24 21:00:37 +0200},
    month = {July},
    title = {A Deep Reinforcement Learning-Based Approach to Query-Free Interactive Target Item Retrieval},
    year = {2021}}
  • Anna Sepliarskaia, Julia Kiseleva, and Maarten de Rijke. How Not to Measure Disentanglement. In ICML Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI, July 2021. Bibtex, PDF
    @inproceedings{sepliarskaia-2021-how,
    author = {Sepliarskaia, Anna and Kiseleva, Julia and de Rijke, Maarten},
    booktitle = {ICML Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI},
    date-added = {2021-06-18 07:13:54 +0200},
    date-modified = {2021-06-24 21:13:49 +0200},
    month = {July},
    title = {How Not to Measure Disentanglement},
    year = {2021}}
  • Weiwei Sun, Shuo Zhang, Krisztian Balog, Zhaochun Ren, Pengjie Ren, Zhumin Chen, and Maarten de Rijke. Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems. In SIGIR 2021: 44th international ACM SIGIR Conference on Research and Development in Information Retrieval, page 2499–2506. ACM, July 2021. Bibtex, PDF
    @inproceedings{sun-2021-simulating,
    author = {Sun, Weiwei and Zhang, Shuo and Balog, Krisztian and Ren, Zhaochun and Ren, Pengjie and Chen, Zhumin and de Rijke, Maarten},
    booktitle = {SIGIR 2021: 44th international ACM SIGIR Conference on Research and Development in Information Retrieval},
    date-added = {2021-04-14 05:52:21 +0200},
    date-modified = {2021-07-17 10:43:22 +0200},
    month = {July},
    pages = {2499--2506},
    publisher = {ACM},
    title = {Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems},
    year = {2021}}
  • Weiwei Sun, Chuan Meng, Qi Meng, Zhaochun Ren, Pengjie Ren, Zhumin Chen, and Maarten de Rijke. Conversations Powered by Cross-Lingual Knowledge. In SIGIR 2021: 44th international ACM SIGIR Conference on Research and Development in Information Retrieval, page 1442–1451. ACM, July 2021. Bibtex, PDF
    @inproceedings{sun-2021-conversations,
    author = {Sun, Weiwei and Meng, Chuan and Meng, Qi and Ren, Zhaochun and Ren, Pengjie and Chen, Zhumin and de Rijke, Maarten},
    booktitle = {SIGIR 2021: 44th international ACM SIGIR Conference on Research and Development in Information Retrieval},
    date-added = {2021-04-14 16:52:48 +0200},
    date-modified = {2021-07-17 10:50:00 +0200},
    month = {July},
    pages = {1442--1451},
    publisher = {ACM},
    title = {Conversations Powered by Cross-Lingual Knowledge},
    year = {2021}}
  • Nikos Voskarides, Edgar Meij, Sabrina Sauer, and Maarten de Rijke. News Article Retrieval in Context for Event-centric Narrative Creation. In ICTIR 2021: ACM SIGIR International Conference on the Theory of Information Retrieval. ACM, July 2021. Bibtex, PDF
    @inproceedings{voskarides-2021-news,
    author = {Voskarides, Nikos and Meij, Edgar and Sauer, Sabrina and de Rijke, Maarten},
    booktitle = {ICTIR 2021: ACM SIGIR International Conference on the Theory of Information Retrieval},
    date-added = {2021-06-15 08:58:38 +0200},
    date-modified = {2021-06-15 09:00:28 +0200},
    month = {July},
    publisher = {ACM},
    title = {News Article Retrieval in Context for Event-centric Narrative Creation},
    year = {2021}}
  • Zihan Wang, Hongye Song, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xiaozhong Liu, Hongsong Li, and Maarten de Rijke. Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network. In SIGIR 2021: 44th international ACM SIGIR Conference on Research and Development in Information Retrieval, page 1003–1012. ACM, July 2021. Bibtex, PDF
    @inproceedings{wang-2021-cross-domain,
    author = {Wang, Zihan and Song, Hongye and Ren, Zhaochun and Ren, Pengjie and Chen, Zhumin and Liu, Xiaozhong and Li, Hongsong and de Rijke, Maarten},
    booktitle = {SIGIR 2021: 44th international ACM SIGIR Conference on Research and Development in Information Retrieval},
    date-added = {2021-04-14 16:52:59 +0200},
    date-modified = {2021-07-17 10:50:43 +0200},
    month = {July},
    pages = {1003--1012},
    publisher = {ACM},
    title = {Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network},
    year = {2021}}

New publications

Catching up again with recent and upcoming publications:

  • Ana Lucic, Madhulika Srikumar, Umang Bhatt, Alice Xiang, Ankur Taly, Q.~Vera Liao, and Maarten de Rijke. A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms. In ACM CHI Workshop on Operationalizing Human-Centered Perspectives in Explainable AI. ACM, May 2021. Bibtex, PDF
    @inproceedings{lucic-2021-multistakeholder,
    author = {Lucic, Ana and Srikumar, Madhulika and Bhatt, Umang and Xiang, Alice and Taly, Ankur and Liao, Q.~Vera and de Rijke, Maarten},
    booktitle = {ACM CHI Workshop on Operationalizing Human-Centered Perspectives in Explainable AI},
    date-added = {2021-03-15 21:48:20 +0100},
    date-modified = {2021-03-15 21:58:01 +0100},
    month = {May},
    publisher = {ACM},
    title = {A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms},
    year = {2021}}
  • Yangjun Zhang, Pengjie Ren, and Maarten de Rijke. A Taxonomy, Dataset and Benchmark for Detecting and Classifying Malevolent Dialogue Responses. Journal of the Association for Information Science and Technology, May 2021. Bibtex, PDF
    @article{zhang-2021-taxonomy,
    author = {Zhang, Yangjun and Ren, Pengjie and de Rijke, Maarten},
    date-added = {2020-08-17 06:47:59 +0200},
    date-modified = {2021-05-29 09:35:49 +0200},
    journal = {Journal of the Association for Information Science and Technology},
    month = {May},
    title = {A Taxonomy, Dataset and Benchmark for Detecting and Classifying Malevolent Dialogue Responses},
    year = {2021}}

New publications

Catching up again with recent and upcoming publications:

  • Qiannan Cheng, Zhaochun Ren, Yujie Lin, Pengjie Ren, Zhumin Chen, Xiangyuan Liu, and Maarten de Rijke. Long Short-Term Session Search with Joint Document Reranking and Next Query Prediction. In The Web Conference 2021. ACM, April 2021. Bibtex, PDF
    @inproceedings{cheng-2021-long,
    author = {Cheng, Qiannan and Ren, Zhaochun and Lin, Yujie and Ren, Pengjie and Chen, Zhumin and Liu, Xiangyuan and de Rijke, Maarten},
    booktitle = {The Web Conference 2021},
    date-added = {2021-01-15 20:42:20 +0100},
    date-modified = {2021-03-13 22:16:36 +0100},
    month = {April},
    publisher = {ACM},
    title = {Long Short-Term Session Search with Joint Document Reranking and Next Query Prediction},
    year = {2021}}
  • Ana Lucic, Madhulika Srikumar, Umang Bhatt, Alice Xiang, Ankur Taly, Vera Q. Liao, and Maarten de Rijke. A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms. arXiv preprint arXiv:2103.14976, March 2021. Bibtex, PDF, URL
    @article{lucic-2021-multistakeholder-arxiv,
    author = {Lucic, Ana and Srikumar, Madhulika and Bhatt, Umang and Xiang, Alice and Taly, Ankur and Liao, Q. Vera and de Rijke, Maarten},
    date-added = {2021-04-04 09:45:06 +0200},
    date-modified = {2021-04-04 09:48:22 +0200},
    journal = {arXiv preprint arXiv:2103.14976},
    month = {March},
    title = {A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms},
    url = {https://arxiv.org/pdf/2103.14976},
    year = {2021},
    Bdsk-Url-1 = {https://arxiv.org/pdf/2103.14976}}
  • Harrie Oosterhuis and Maarten de Rijke. Robust Generalization and Safe Query-Specialization in Counterfactual Learning to Rank. In The Web Conference 2021. ACM, April 2021. Bibtex, PDF
    @inproceedings{oosterhuis-2021-robust,
    author = {Oosterhuis, Harrie and de Rijke, Maarten},
    booktitle = {The Web Conference 2021},
    date-added = {2021-01-15 20:44:01 +0100},
    date-modified = {2021-01-15 20:44:33 +0100},
    month = {April},
    publisher = {ACM},
    title = {Robust Generalization and Safe Query-Specialization in Counterfactual Learning to Rank},
    year = {2021}}
  • Jiahuan Pei, Pengjie Ren, and Maarten de Rijke. A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles. In The Web Conference 2021. ACM, April 2021. Bibtex, PDF
    @inproceedings{pei-2021-cooperative,
    author = {Pei, Jiahuan and Ren, Pengjie and de Rijke, Maarten},
    booktitle = {The Web Conference 2021},
    date-added = {2021-01-15 20:40:35 +0100},
    date-modified = {2021-01-15 20:42:07 +0100},
    month = {April},
    publisher = {ACM},
    title = {A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles},
    year = {2021}}

New publications

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 de Rijke, Maarten and Chua, Tat-Seng},
    date-added = {2021-02-21 16:37:14 +0100},
    date-modified = {2021-02-21 16:46:39 +0100},
    journal = {arXiv preprint arXiv:2101.09459},
    month = {January},
    title = {Advances and Challenges in Conversational Recommender Systems: A Survey},
    url = {https://arxiv.org/abs/2101.09459},
    year = {2021},
    Bdsk-Url-1 = {https://arxiv.org/abs/2101.09459}}
  • Qintong Li, Piji Li, Xinyi Li, Zhumin Chen, Zhaochun Ren, and Maarten de Rijke. Abstractive Opinion Tagging. In WSDM 2021: 14th International Conference on Web Search and Data Mining. ACM, March 2021. Bibtex, PDF
    @inproceedings{li-2021-abstractive,
    author = {Li, Qintong and Li, Piji and Li, Xinyi and Chen, Zhumin and Ren, Zhaochun and de Rijke, Maarten},
    booktitle = {WSDM 2021: 14th International Conference on Web Search and Data Mining},
    date-added = {2020-10-16 06:27:36 +0200},
    date-modified = {2020-10-16 06:27:36 +0200},
    month = {March},
    publisher = {ACM},
    title = {Abstractive Opinion Tagging},
    year = {2021}}
  • Ana Lucic, Maartje ter Hoeve, Gabriele Tolomei, Maarten de Rijke, and Fabrizio Silvestri. CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. arXiv preprint arXiv:2102.03322, February 2021. Bibtex, PDF, URL
    @article{lucic-2021-cf-gnnexplainer-arxiv,
    author = {Lucic, Ana and ter Hoeve, Maartje and Tolomei, Gabriele and de Rijke, Maarten and Silvestri, Fabrizio},
    date-added = {2021-02-08 07:18:31 +0100},
    date-modified = {2021-02-08 07:25:21 +0100},
    journal = {arXiv preprint arXiv:2102.03322},
    month = {February},
    title = {CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks},
    url = {https://arxiv.org/pdf/2102.03322},
    year = {2021},
    Bdsk-Url-1 = {https://arxiv.org/pdf/2102.03322}}
  • Harrie Oosterhuis and Maarten de Rijke. Unifying Online and Counterfactual Learning to Rank. In WSDM 2021: 14th International Conference on Web Search and Data Mining. ACM, March 2021. Bibtex, PDF
    @inproceedings{oosterhuis-2021-unifying,
    author = {Oosterhuis, Harrie and de Rijke, Maarten},
    booktitle = {WSDM 2021: 14th International Conference on Web Search and Data Mining},
    date-added = {2020-10-16 06:27:40 +0200},
    date-modified = {2020-10-16 06:28:29 +0200},
    month = {March},
    publisher = {ACM},
    title = {Unifying Online and Counterfactual Learning to Rank},
    year = {2021}}

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 also open a position for a research engineer to support our team. Come and help us develop and share open source solutions and datasets, and keep our clusters spinning happily.

Open already: three vacancies for fully funded PhD students. Come and help us develop the next generation of conversational search. Deadline: November 30. See https://t.co/qTXIlFAmaE?amp=1

If you have any questions, please reach out to Evangelos Kanoulas, Ilya Markov, Sebastian Schelter, or me.

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 12:36:41 +0200},
    date-modified = {2020-10-21 06:23:07 +0200},
    journal = {Information Processing \& Management},
    month = {November},
    number = {6},
    pages = {Article 102040},
    title = {Hierarchical Neural Query Suggestion with an Attention Mechanism},
    volume = {57},
    year = {2020}}
  • Ziming Li, Sungjin Lee, Baolin Peng, Jinchao Li, Julia Kiseleva, Maarten de Rijke, Shahin Shayandeh, and Jianfeng Gao. Guided Dialogue Policy Learning without Adversarial Learning in the Loop. In EMNLP 2020. ACL, November 2020. Bibtex, PDF
    @inproceedings{li-2020-guided,
    author = {Li, Ziming and Lee, Sungjin and Peng, Baolin and Li, Jinchao and Kiseleva, Julia and de Rijke, Maarten and Shayandeh, Shahin and Gao, Jianfeng},
    booktitle = {EMNLP 2020},
    date-added = {2020-09-15 18:12:31 +0200},
    date-modified = {2020-09-15 18:18:32 +0200},
    month = {November},
    publisher = {ACL},
    title = {Guided Dialogue Policy Learning without Adversarial Learning in the Loop},
    year = {2020}}
  • Ziming Li, Julia Kiseleva, and Maarten de Rijke. Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems. In EMNLP 2020. ACL, November 2020. Bibtex, PDF
    @inproceedings{li-2020-rethinking,
    author = {Li, Ziming and Kiseleva, Julia and de Rijke, Maarten},
    booktitle = {EMNLP 2020},
    date-added = {2020-09-15 18:18:49 +0200},
    date-modified = {2020-09-15 18:20:20 +0200},
    month = {November},
    publisher = {ACL},
    title = {Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems},
    year = {2020}}
  • Jianming Zheng, Fei Cai, Honghui Chen, and Maarten de Rijke. Pre-train, Interact, Fine-tune: A Novel Interaction Representation for Text Classification. Information Processing & Management, 57(6):Article 102215, November 2020. Bibtex, PDF
    @article{zheng-2020-pre-train,
    author = {Zheng, Jianming and Cai, Fei and Chen, Honghui and de Rijke, Maarten},
    date-added = {2020-01-26 21:09:35 +0100},
    date-modified = {2020-10-21 06:24:01 +0200},
    journal = {Information Processing \& Management},
    month = {November},
    number = {6},
    pages = {Article 102215},
    title = {Pre-train, Interact, Fine-tune: A Novel Interaction Representation for Text Classification},
    volume = {57},
    year = {2020}}

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 and Cai, Fei and Sun, Fei and de Rijke, Maarten},
    booktitle = {CIKM 2020: 29th ACM International Conference on Information and Knowledge Management},
    date-added = {2020-07-17 12:46:55 +0200},
    date-modified = {2020-10-20 07:31:14 +0200},
    month = {October},
    pages = {175--184},
    publisher = {ACM},
    title = {Improving End-to-End Sequential Recommendations with Intent-aware Diversification},
    year = {2020}}
  • Xiangsheng Li, Maarten de Rijke, Yiqun Liu, Jiaxin Mao, Weizhi Ma, Min Zhang, and Shaoping Ma. Learning Better Representations for Neural Information Retrieval with Graph Information. In CIKM 2020: 29th ACM International Conference on Information and Knowledge Management, page 795–804. ACM, October 2020. Bibtex, PDF
    @inproceedings{li-2020-learning,
    author = {Li, Xiangsheng and de Rijke, Maarten and Liu, Yiqun and Mao, Jiaxin and Ma, Weizhi and Zhang, Min and Ma, Shaoping},
    booktitle = {CIKM 2020: 29th ACM International Conference on Information and Knowledge Management},
    date-added = {2020-07-17 12:41:46 +0200},
    date-modified = {2020-10-20 07:31:34 +0200},
    month = {October},
    pages = {795--804},
    publisher = {ACM},
    title = {Learning Better Representations for Neural Information Retrieval with Graph Information},
    year = {2020}}
  • Zhiqiang Pan, Fei Cai, Wanyu Chen, Honghui Chen, and Maarten de Rijke. Star Graph Neural Networks for Session-based Recommendation. In CIKM 2020: 29th ACM International Conference on Information and Knowledge Management, page 1195–1204. ACM, October 2020. Bibtex, PDF
    @inproceedings{pan-2020-star,
    author = {Pan, Zhiqiang and Cai, Fei and Chen, Wanyu and Chen, Honghui and de Rijke, Maarten},
    booktitle = {CIKM 2020: 29th ACM International Conference on Information and Knowledge Management},
    date-added = {2020-07-17 12:44:13 +0200},
    date-modified = {2020-10-20 07:31:54 +0200},
    month = {October},
    pages = {1195--1204},
    publisher = {ACM},
    title = {Star Graph Neural Networks for Session-based Recommendation},
    year = {2020}}
  • Ridho Reinanda, Edgar Meij, and Maarten de Rijke. Knowledge Graphs: An Information Retrieval Perspective. Foundations and Trends in Information Retrieval, 14(4):289–444, October 2020. Bibtex, PDF
    @article{reinanda-2020-knowledge,
    author = {Reinanda, Ridho and Meij, Edgar and de Rijke, Maarten},
    date-added = {2018-07-20 09:10:39 +0000},
    date-modified = {2020-10-16 22:32:43 +0200},
    journal = {Foundations and Trends in Information Retrieval},
    month = {October},
    number = {4},
    pages = {289--444},
    title = {Knowledge Graphs: An Information Retrieval Perspective},
    volume = {14},
    year = {2020}}
  • Ali Vardasbi, Harrie Oosterhuis, and Maarten de Rijke. When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank. In CIKM 2020: 29th ACM International Conference on Information and Knowledge Management, page 1475–1484. ACM, October 2020. Bibtex, PDF
    @inproceedings{vardasbi-2020-inverse,
    author = {Vardasbi, Ali and Oosterhuis, Harrie and de Rijke, Maarten},
    booktitle = {CIKM 2020: 29th ACM International Conference on Information and Knowledge Management},
    date-added = {2020-07-17 12:38:45 +0200},
    date-modified = {2020-10-20 07:32:14 +0200},
    month = {October},
    pages = {1475--1484},
    publisher = {ACM},
    title = {When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank},
    year = {2020}}

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 de Rijke, Maarten},
    booktitle = {AALTD: International Workshop on Advanced Analytics and Learning on Temporal Data},
    date-added = {2020-07-16 18:11:34 +0200},
    date-modified = {2020-12-29 23:04:14 +0100},
    month = {December},
    pages = {46-62},
    publisher = {Springer},
    series = {LNCS 12588},
    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}}

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