{"id":3103,"date":"2022-01-01T14:02:23","date_gmt":"2022-01-01T14:02:23","guid":{"rendered":"https:\/\/staff.fnwi.uva.nl\/m.derijke\/?p=3103"},"modified":"2022-02-27T14:21:25","modified_gmt":"2022-02-27T14:21:25","slug":"new-publications-12","status":"publish","type":"post","link":"https:\/\/staff.fnwi.uva.nl\/m.derijke\/new-publications-12\/","title":{"rendered":"New publications"},"content":{"rendered":"\n<p>Catching up with papers published since the last update, in July 2021:<\/p>\n\n\n\n<p><ul class=\"papercite_bibliography\">       <li>           Gabriel B\u00e9n\u00e9dict, Vincent Koops, Daan Odijk, and Maarten de Rijke. sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification. <em>arXiv preprint arXiv:2108.10566<\/em>, August 2021.      <a href=\"javascript:void(0)\" id=\"papercite_11\" class=\"papercite_toggle\"><span style=\"color: #898989;\">Bibtex<\/span><\/a>, <a href=\"https:\/\/staff.fnwi.uva.nl\/m.derijke\/wp-content\/papercite-data\/pdf\/benedict-2021-sigmoidf1-arxiv.pdf\" title='Download PDF' class='papercite_pdf'>PDF<\/a>, <a href=\"https:\/\/arxiv.org\/pdf\/2108.10566\" title='URL' class='papercite_pdf'>URL<\/a>    <div class=\"papercite_bibtex\" id=\"papercite_11_block\"><pre><code class=\"tex bibtex\">@article{benedict-2021-sigmoidf1-arxiv,\nauthor = {B{\\'e}n{\\'e}dict, Gabriel and Koops, Vincent and Odijk, Daan and de Rijke, Maarten},\ndate-added = {2021-08-25 10:23:31 +0200},\ndate-modified = {2022-05-05 11:10:13 +0200},\njournal = {arXiv preprint arXiv:2108.10566},\nmonth = {August},\ntitle = {{sigmoidF1}: A Smooth {F1} Score Surrogate Loss for Multilabel Classification},\nurl = {https:\/\/arxiv.org\/pdf\/2108.10566},\nyear = {2021},\nbdsk-url-1 = {https:\/\/arxiv.org\/pdf\/2108.10566}}<\/code><\/pre><\/div>         <\/li>       <li>           Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, and Tat-Seng Chua. Advances and Challenges in Conversational Recommender Systems: A Survey. <em>AI Open<\/em>, 2:100\u2013126, July 2021.      <a href=\"javascript:void(0)\" id=\"papercite_6\" class=\"papercite_toggle\"><span style=\"color: #898989;\">Bibtex<\/span><\/a>, <a href=\"https:\/\/staff.fnwi.uva.nl\/m.derijke\/wp-content\/papercite-data\/pdf\/gao-2021-advances.pdf\" title='Download PDF' class='papercite_pdf'>PDF<\/a>    <div class=\"papercite_bibtex\" id=\"papercite_6_block\"><pre><code class=\"tex bibtex\">@article{gao-2021-advances,\nauthor = {Gao, Chongming and Lei, Wenqiang and He, Xiangnan and de Rijke, Maarten and Chua, Tat-Seng},\ndate-added = {2021-07-25 09:14:58 +0200},\ndate-modified = {2021-07-25 09:22:18 +0200},\njournal = {AI Open},\nmonth = {July},\npages = {100--126},\ntitle = {Advances and Challenges in Conversational Recommender Systems: A Survey},\nvolume = {2},\nyear = {2021},\nbdsk-url-1 = {https:\/\/arxiv.org\/abs\/2101.09459}}<\/code><\/pre><\/div>         <\/li>       <li>           Ming Li, Sami Jullien, Mozhdeh Ariannezhad, and Maarten de Rijke. A Next Basket Recommendation Reality Check. <em>arXiv preprint arXiv:2109.14233<\/em>, September 2021.      <a href=\"javascript:void(0)\" id=\"papercite_9\" class=\"papercite_toggle\"><span style=\"color: #898989;\">Bibtex<\/span><\/a>, <a href=\"https:\/\/staff.fnwi.uva.nl\/m.derijke\/wp-content\/papercite-data\/pdf\/li-2021-next-arxiv.pdf\" title='Download PDF' class='papercite_pdf'>PDF<\/a>, <a href=\"https:\/\/arxiv.org\/pdf\/2109.14233\" title='URL' class='papercite_pdf'>URL<\/a>    <div class=\"papercite_bibtex\" id=\"papercite_9_block\"><pre><code class=\"tex bibtex\">@article{li-2021-next-arxiv,\nauthor = {Li, Ming and Jullien, Sami and Ariannezhad, Mozhdeh and de Rijke, Maarten},\ndate-added = {2021-09-30 10:15:30 +0200},\ndate-modified = {2021-09-30 10:16:58 +0200},\njournal = {arXiv preprint arXiv:2109.14233},\nmonth = {September},\ntitle = {A Next Basket Recommendation Reality Check},\nurl = {https:\/\/arxiv.org\/pdf\/2109.14233},\nyear = {2021},\nbdsk-url-1 = {https:\/\/arxiv.org\/pdf\/2108.10566}}<\/code><\/pre><\/div>         <\/li>       <li>           Zhongkun Liu, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Maarten de Rijke, and Ming Zhou. Learning to Ask Conversational Questions by Optimizing Levenshtein Distance. In <em>ACL-IJCNLP 2021: The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing<\/em>, page 5638\u20135650, August 2021.      <a href=\"javascript:void(0)\" id=\"papercite_4\" class=\"papercite_toggle\"><span style=\"color: #898989;\">Bibtex<\/span><\/a>, <a href=\"https:\/\/staff.fnwi.uva.nl\/m.derijke\/wp-content\/papercite-data\/pdf\/liu-2021-learning.pdf\" title='Download PDF' class='papercite_pdf'>PDF<\/a>    <div class=\"papercite_bibtex\" id=\"papercite_4_block\"><pre><code class=\"tex bibtex\">@inproceedings{liu-2021-learning,\nauthor = {Liu, Zhongkun and Ren, Pengjie and Chen, Zhumin and Ren, Zhaochun and de Rijke, Maarten and Zhou, Ming},\nbooktitle = {ACL-IJCNLP 2021: The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing},\ndate-added = {2021-05-06 08:54:21 +0200},\ndate-modified = {2023-03-05 03:59:05 +0100},\nmonth = {August},\npages = {5638--5650},\ntitle = {Learning to Ask Conversational Questions by Optimizing Levenshtein Distance},\nyear = {2021}}<\/code><\/pre><\/div>         <\/li>       <li>           Ana Lucic, Harrie Oosterhuis, Hinda Haned, and Maarten de Rijke. Flexible Interpretability through Optimizable Counterfactual Explanations for Tree Ensembles. In <em>RAI@KDD&#8217;21: Measures and Best Practices for Responsible AI<\/em>.  ACM, August 2021.      <a href=\"javascript:void(0)\" id=\"papercite_1\" class=\"papercite_toggle\"><span style=\"color: #898989;\">Bibtex<\/span><\/a>    <div class=\"papercite_bibtex\" id=\"papercite_1_block\"><pre><code class=\"tex bibtex\">@inproceedings{lucic-2021-flexible-kdd,\nauthor = {Lucic, Ana and Oosterhuis, Harrie and Haned, Hinda and de Rijke, Maarten},\nbooktitle = {RAI@KDD'21: Measures and Best Practices for Responsible AI},\ndate-added = {2021-07-02 07:46:30 +0200},\ndate-modified = {2021-07-11 22:12:12 +0200},\nmonth = {August},\npublisher = {ACM},\ntitle = {Flexible Interpretability through Optimizable Counterfactual Explanations for Tree Ensembles},\nyear = {2021}}<\/code><\/pre><\/div>         <\/li>       <li>           Ana Lucic, Maartje ter Hoeve, Gabriele Tolomei, Maarten de Rijke, and Fabrizio Silvestri. Counterfactual Explanations for Graph Neural Networks. In <em>KDD&#8217;21 Workshop on Deep Learning on Graphs: Methods and Applications (DLG-KDD&#8217;21)<\/em>.  ACM, August 2021.      <a href=\"javascript:void(0)\" id=\"papercite_2\" class=\"papercite_toggle\"><span style=\"color: #898989;\">Bibtex<\/span><\/a>    <div class=\"papercite_bibtex\" id=\"papercite_2_block\"><pre><code class=\"tex bibtex\">@inproceedings{lucic-2021-counterfactual,\nauthor = {Lucic, Ana and ter Hoeve, Maartje and Tolomei, Gabriele and de Rijke, Maarten and Silvestri, Fabrizio},\nbooktitle = {KDD'21 Workshop on Deep Learning on Graphs: Methods and Applications (DLG-KDD'21)},\ndate-added = {2021-06-22 07:05:27 +0200},\ndate-modified = {2021-06-22 07:06:41 +0200},\nmonth = {August},\npublisher = {ACM},\ntitle = {Counterfactual Explanations for Graph Neural Networks},\nyear = {2021}}<\/code><\/pre><\/div>         <\/li>       <li>           Ana Lucic, Maurits Bleeker, Sami Jullien, Samarth Bhargav, and Maarten de Rijke. Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence through the Lens of Reproducibility. <em>arXiv preprint arXiv:2111.00826<\/em>, November 2021.      <a href=\"javascript:void(0)\" id=\"papercite_8\" class=\"papercite_toggle\"><span style=\"color: #898989;\">Bibtex<\/span><\/a>, <a href=\"https:\/\/staff.fnwi.uva.nl\/m.derijke\/wp-content\/papercite-data\/pdf\/lucic-2021-teaching-arxiv.pdf\" title='Download PDF' class='papercite_pdf'>PDF<\/a>, <a href=\"https:\/\/arxiv.org\/pdf\/2111.00826\" title='URL' class='papercite_pdf'>URL<\/a>    <div class=\"papercite_bibtex\" id=\"papercite_8_block\"><pre><code class=\"tex bibtex\">@article{lucic-2021-teaching-arxiv,\nauthor = {Lucic, Ana and Bleeker, Maurits and Jullien, Sami and Bhargav, Samarth and de Rijke, Maarten},\ndate-added = {2021-11-07 09:17:03 +0100},\ndate-modified = {2021-11-13 07:44:52 +0100},\njournal = {arXiv preprint arXiv:2111.00826},\nmonth = {November},\ntitle = {Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence through the Lens of Reproducibility},\nurl = {https:\/\/arxiv.org\/pdf\/2111.00826},\nyear = {2021},\nbdsk-url-1 = {https:\/\/arxiv.org\/pdf\/2111.00826}}<\/code><\/pre><\/div>         <\/li>       <li>           Harrie Oosterhuis and Maarten de Rijke. Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions (Extended Abstract). In <em>Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21<\/em>, page 4809\u20134813.  International Joint Conferences on Artificial Intelligence Organization, 8 2021. Sister Conferences Best Papers      <a href=\"javascript:void(0)\" id=\"papercite_10\" class=\"papercite_toggle\"><span style=\"color: #898989;\">Bibtex<\/span><\/a>, <a href=\"https:\/\/staff.fnwi.uva.nl\/m.derijke\/wp-content\/papercite-data\/pdf\/oosterhuis-2021-unifying-ijcai2021.pdf\" title='Download PDF' class='papercite_pdf'>PDF<\/a>    <div class=\"papercite_bibtex\" id=\"papercite_10_block\"><pre><code class=\"tex bibtex\">@inproceedings{oosterhuis-2021-unifying-ijcai2021,\nauthor = {Oosterhuis, Harrie and de Rijke, Maarten},\nbooktitle = {Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, {IJCAI-21}},\ndate-added = {2021-09-04 08:42:30 +0200},\ndate-modified = {2021-09-04 08:42:30 +0200},\nmonth = {8},\nnote = {Sister Conferences Best Papers},\npages = {4809--4813},\npublisher = {International Joint Conferences on Artificial Intelligence Organization},\ntitle = {Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions (Extended Abstract)},\nyear = {2021},\nbdsk-url-1 = {https:\/\/doi.org\/10.24963\/ijcai.2021\/656}}<\/code><\/pre><\/div>         <\/li>       <li>           Olivier Sprangers, Sebastian Schelter, and Maarten de Rijke. Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression. In <em>KDD &#8217;21: Proceedings of the 27th Conference on Knowledge Discovery and Data Mining<\/em>, page 1510\u20131520.  ACM, August 2021.      <a href=\"javascript:void(0)\" id=\"papercite_3\" class=\"papercite_toggle\"><span style=\"color: #898989;\">Bibtex<\/span><\/a>, <a href=\"https:\/\/staff.fnwi.uva.nl\/m.derijke\/wp-content\/papercite-data\/pdf\/sprangers-2021-probabilistic.pdf\" title='Download PDF' class='papercite_pdf'>PDF<\/a>    <div class=\"papercite_bibtex\" id=\"papercite_3_block\"><pre><code class=\"tex bibtex\">@inproceedings{sprangers-2021-probabilistic,\nauthor = {Sprangers, Olivier and Schelter, Sebastian and de Rijke, Maarten},\nbooktitle = {KDD '21: Proceedings of the 27th Conference on Knowledge Discovery and Data Mining},\ndate-added = {2021-05-16 11:08:21 +0200},\ndate-modified = {2021-08-13 07:57:40 +0200},\nmonth = {August},\npages = {1510--1520},\npublisher = {ACM},\ntitle = {Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression},\nyear = {2021}}<\/code><\/pre><\/div>         <\/li>       <li>           Svitlana Vakulenko, Evangelos Kanoulas, and Maarten de Rijke. A Large-Scale Analysis of Mixed Initiative in Information-Seeking Dialogues for Conversational Search. <em>ACM Transactions on Information Systems<\/em>, 39(4):Article No. 49, August 2021.      <a href=\"javascript:void(0)\" id=\"papercite_7\" class=\"papercite_toggle\"><span style=\"color: #898989;\">Bibtex<\/span><\/a>, <a href=\"https:\/\/staff.fnwi.uva.nl\/m.derijke\/wp-content\/papercite-data\/pdf\/vakulenko-2021-large-scale.pdf\" title='Download PDF' class='papercite_pdf'>PDF<\/a>    <div class=\"papercite_bibtex\" id=\"papercite_7_block\"><pre><code class=\"tex bibtex\">@article{vakulenko-2021-large-scale,\nauthor = {Vakulenko, Svitlana and Kanoulas, Evangelos and de Rijke, Maarten},\ndate-added = {2020-05-29 06:56:12 +0200},\ndate-modified = {2025-02-09 11:52:45 +0100},\njournal = {ACM Transactions on Information Systems},\nmonth = {August},\nnumber = {4},\npages = {Article No. 49},\ntitle = {A Large-Scale Analysis of Mixed Initiative in Information-Seeking Dialogues for Conversational Search},\nvolume = {39},\nyear = {2021}}<\/code><\/pre><\/div>         <\/li>       <li>           Ali Vardasbi, Maarten de Rijke, and Ilya Markov. Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank. In <em>CIKM 2021: 30th ACM International Conference on Information and Knowledge Management<\/em>, page 1869\u20131878.  ACM, November 2021.      <a href=\"javascript:void(0)\" id=\"papercite_0\" class=\"papercite_toggle\"><span style=\"color: #898989;\">Bibtex<\/span><\/a>, <a href=\"https:\/\/staff.fnwi.uva.nl\/m.derijke\/wp-content\/papercite-data\/pdf\/vardasbi-2021-mixture-based.pdf\" title='Download PDF' class='papercite_pdf'>PDF<\/a>    <div class=\"papercite_bibtex\" id=\"papercite_0_block\"><pre><code class=\"tex bibtex\">@inproceedings{vardasbi-2021-mixture-based,\nauthor = {Vardasbi, Ali and de Rijke, Maarten and Markov, Ilya},\nbooktitle = {CIKM 2021: 30th ACM International Conference on Information and Knowledge Management},\ndate-added = {2021-08-08 08:29:38 +0200},\ndate-modified = {2023-03-05 03:57:49 +0100},\nmonth = {November},\npages = {1869--1878},\npublisher = {ACM},\ntitle = {Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank},\nyear = {2021}}<\/code><\/pre><\/div>         <\/li>       <li>           Yangjun Zhang, Pengjie Ren, and Maarten de Rijke. A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues. In <em>ACL-IJCNLP 2021: The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing<\/em>, August 2021.      <a href=\"javascript:void(0)\" id=\"papercite_5\" class=\"papercite_toggle\"><span style=\"color: #898989;\">Bibtex<\/span><\/a>, <a href=\"https:\/\/staff.fnwi.uva.nl\/m.derijke\/wp-content\/papercite-data\/pdf\/zhang-2021-human-machine.pdf\" title='Download PDF' class='papercite_pdf'>PDF<\/a>    <div class=\"papercite_bibtex\" id=\"papercite_5_block\"><pre><code class=\"tex bibtex\">@inproceedings{zhang-2021-human-machine,\nauthor = {Zhang, Yangjun and Ren, Pengjie and de Rijke, Maarten},\nbooktitle = {ACL-IJCNLP 2021: The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing},\ndate-added = {2021-05-06 08:46:35 +0200},\ndate-modified = {2021-05-06 08:54:14 +0200},\nmonth = {August},\ntitle = {A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues},\nyear = {2021}}<\/code><\/pre><\/div>         <\/li>           <\/ul><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Catching up with papers published since the last update, in July 2021: Gabriel B\u00e9n\u00e9dict, Vincent Koops, Daan Odijk, and Maarten de Rijke. sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification. arXiv preprint arXiv:2108.10566, August 2021. Bibtex, PDF, URL @article{benedict-2021-sigmoidf1-arxiv, author = {B{\\&#8217;e}n{\\&#8217;e}dict, Gabriel and Koops, Vincent and Odijk, Daan and de Rijke, Maarten},&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"_links":{"self":[{"href":"https:\/\/staff.fnwi.uva.nl\/m.derijke\/wp-json\/wp\/v2\/posts\/3103"}],"collection":[{"href":"https:\/\/staff.fnwi.uva.nl\/m.derijke\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/staff.fnwi.uva.nl\/m.derijke\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/staff.fnwi.uva.nl\/m.derijke\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/staff.fnwi.uva.nl\/m.derijke\/wp-json\/wp\/v2\/comments?post=3103"}],"version-history":[{"count":3,"href":"https:\/\/staff.fnwi.uva.nl\/m.derijke\/wp-json\/wp\/v2\/posts\/3103\/revisions"}],"predecessor-version":[{"id":3111,"href":"https:\/\/staff.fnwi.uva.nl\/m.derijke\/wp-json\/wp\/v2\/posts\/3103\/revisions\/3111"}],"wp:attachment":[{"href":"https:\/\/staff.fnwi.uva.nl\/m.derijke\/wp-json\/wp\/v2\/media?parent=3103"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/staff.fnwi.uva.nl\/m.derijke\/wp-json\/wp\/v2\/categories?post=3103"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/staff.fnwi.uva.nl\/m.derijke\/wp-json\/wp\/v2\/tags?post=3103"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}