{"id":2711,"date":"2020-09-01T02:00:24","date_gmt":"2020-09-01T02:00:24","guid":{"rendered":"https:\/\/staff.fnwi.uva.nl\/m.derijke\/?p=2711"},"modified":"2021-01-10T15:59:37","modified_gmt":"2021-01-10T15:59:37","slug":"new-publications-5","status":"publish","type":"post","link":"https:\/\/staff.fnwi.uva.nl\/m.derijke\/new-publications-5\/","title":{"rendered":"New publications"},"content":{"rendered":"\n<p>New publications that are scheduled to appear this month: <\/p>\n\n\n\n<p><ul class=\"papercite_bibliography\">       <li>           Mozhdeh Ariannezhad, Sebastian Schelter, and Maarten de Rijke. Demand Forecasting in the Presence of Privileged Information. In <em>AALTD: International Workshop on Advanced Analytics and Learning on Temporal Data<\/em>, LNCS 12588, pages 46-62.  Springer, December 2020.      <a href=\"javascript:void(0)\" id=\"papercite_2\" class=\"papercite_toggle\"><span style=\"color: #898989;\">Bibtex<\/span><\/a>, <a href=\"https:\/\/staff.fnwi.uva.nl\/m.derijke\/wp-content\/papercite-data\/pdf\/ariannezhad-2020-demand.pdf\" title='Download PDF' class='papercite_pdf'>PDF<\/a>    <div class=\"papercite_bibtex\" id=\"papercite_2_block\"><pre><code class=\"tex bibtex\">@inproceedings{ariannezhad-2020-demand,\nauthor = {Ariannezhad, Mozhdeh and Schelter, Sebastian and de Rijke, Maarten},\nbooktitle = {AALTD: International Workshop on Advanced Analytics and Learning on Temporal Data},\ndate-added = {2020-07-16 18:11:34 +0200},\ndate-modified = {2020-12-29 23:04:14 +0100},\nmonth = {December},\npages = {46-62},\npublisher = {Springer},\nseries = {LNCS 12588},\ntitle = {Demand Forecasting in the Presence of Privileged Information},\nyear = {2020}}<\/code><\/pre><\/div>         <\/li>       <li>           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 <em>RecSys 2020: The ACM Conference on Recommender Systems<\/em>, page 190\u2013199.  ACM, September 2020.      <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\/huang-2020-keeping.pdf\" title='Download PDF' class='papercite_pdf'>PDF<\/a>    <div class=\"papercite_bibtex\" id=\"papercite_0_block\"><pre><code class=\"tex bibtex\">@inproceedings{huang-2020-keeping,\nauthor = {Huang, Jin and Oosterhuis, Harrie and de Rijke, Maarten and van Hoof, Herke},\nbooktitle = {RecSys 2020: The ACM Conference on Recommender Systems},\ndate-added = {2020-07-23 08:03:19 +0200},\ndate-modified = {2020-09-19 09:47:04 +0200},\nmonth = {September},\npages = {190--199},\npublisher = {ACM},\ntitle = {Keeping Dataset Biases out of the Simulation: A Debiased Simulator for Reinforcement Learning based Recommender Systems},\nyear = {2020}}<\/code><\/pre><\/div>         <\/li>       <li>           Chang Li, Haoyun Feng, and Maarten de Rijke. Cascading Hybrid Bandits: Online Learning to Rank for Relevance and Diversity. In <em>RecSys 2020: The ACM Conference on Recommender Systems<\/em>, page 33\u201342.  ACM, September 2020.      <a href=\"javascript:void(0)\" id=\"papercite_1\" 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-2020-cascading.pdf\" title='Download PDF' class='papercite_pdf'>PDF<\/a>    <div class=\"papercite_bibtex\" id=\"papercite_1_block\"><pre><code class=\"tex bibtex\">@inproceedings{li-2020-cascading,\nauthor = {Li, Chang and Feng, Haoyun and de Rijke, Maarten},\nbooktitle = {RecSys 2020: The ACM Conference on Recommender Systems},\ndate-added = {2020-07-23 07:41:55 +0200},\ndate-modified = {2020-09-19 09:46:34 +0200},\nmonth = {September},\npages = {33--42},\npublisher = {ACM},\ntitle = {Cascading Hybrid Bandits: Online Learning to Rank for Relevance and Diversity},\nyear = {2020}}<\/code><\/pre><\/div>         <\/li>       <li>           Harrie Oosterhuis and Maarten de Rijke. Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for Ranking. In <em>ICTIR 2020: The 6th ACM International Conference on the Theory of Information Retrieval<\/em>, page 137\u2013144.  ACM, September 2020.      <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\/oosterhuis-2020-taking.pdf\" title='Download PDF' class='papercite_pdf'>PDF<\/a>    <div class=\"papercite_bibtex\" id=\"papercite_3_block\"><pre><code class=\"tex bibtex\">@inproceedings{oosterhuis-2020-taking,\nauthor = {Oosterhuis, Harrie and de Rijke, Maarten},\nbooktitle = {ICTIR 2020: The 6th ACM International Conference on the Theory of Information Retrieval},\ndate-added = {2020-06-30 10:31:31 +0200},\ndate-modified = {2020-09-15 06:54:46 +0200},\nmonth = {September},\npages = {137--144},\npublisher = {ACM},\ntitle = {Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for Ranking},\nyear = {2020}}<\/code><\/pre><\/div>         <\/li>       <li>           Chuan Wu, Evangelos Kanoulas, and Maarten de Rijke. It All Starts with Entities: A Salient Entity Topic Model. <em>Natural Language Engineering<\/em>, 26(5):531\u2013549, September 2020.      <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\/wu-2020-all.pdf\" title='Download PDF' class='papercite_pdf'>PDF<\/a>    <div class=\"papercite_bibtex\" id=\"papercite_4_block\"><pre><code class=\"tex bibtex\">@article{wu-2020-all,\nauthor = {Wu, Chuan and Kanoulas, Evangelos and de Rijke, Maarten},\ndate-added = {2018-09-21 10:00:04 +0200},\ndate-modified = {2020-08-12 06:43:39 +0200},\njournal = {Natural Language Engineering},\nmonth = {September},\nnumber = {5},\npages = {531--549},\ntitle = {It All Starts with Entities: A Salient Entity Topic Model},\nvolume = {26},\nyear = {2020}}<\/code><\/pre><\/div>         <\/li>           <\/ul><br><\/p>\n","protected":false},"excerpt":{"rendered":"<p>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&#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\/2711"}],"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=2711"}],"version-history":[{"count":8,"href":"https:\/\/staff.fnwi.uva.nl\/m.derijke\/wp-json\/wp\/v2\/posts\/2711\/revisions"}],"predecessor-version":[{"id":2722,"href":"https:\/\/staff.fnwi.uva.nl\/m.derijke\/wp-json\/wp\/v2\/posts\/2711\/revisions\/2722"}],"wp:attachment":[{"href":"https:\/\/staff.fnwi.uva.nl\/m.derijke\/wp-json\/wp\/v2\/media?parent=2711"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/staff.fnwi.uva.nl\/m.derijke\/wp-json\/wp\/v2\/categories?post=2711"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/staff.fnwi.uva.nl\/m.derijke\/wp-json\/wp\/v2\/tags?post=2711"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}