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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">KDD 2022 Workshop on Online and Adaptive Recommender Systems (OARS)<br>
<br>
Call For Papers<br>
==================<br>
<br>
KDD OARS is a half day workshop taking place on August 15th, 2022 in conjunction with KDD 2022 in Washington DC, USA.<br>
<br>
Workshop website: </span><span style="font-size:12.0pt"><a href="https://oars-workshop.github.io/"><span style="font-family:"Arial",sans-serif">https://oars-workshop.github.io/</span></a></span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Arial",sans-serif">Important Dates:<br>
==================<br>
- Submissions Due - May 26th, 2022<br>
- Notification - June 20th, 2022 <br>
- Camera Ready Version of Papers Due - July 9th, 2022<br>
- KDD OARS Workshop - August 15th, 2022<br>
<br>
Details:<br>
==================<br>
The KDD workshop on online and adaptive recommender (OARS) will serve as a platform for publication and discussion of OARS. This workshop will bring together practitioners and researchers from academia and industry to discuss the challenges and approaches to
implement OARS algorithms and systems, and improve user experiences by better modeling and responding to users’ intent.
<br>
<br>
We invite submission of papers and posters of two to ten pages (including references), representing original research, preliminary research results, proposals for new work, and position and opinion papers. All submitted papers and posters will be single-blind
and will be peer reviewed by an international program committee of researchers of high repute. Accepted submissions will be presented at the workshop.</span><o:p></o:p></p>
<p class="MsoNormal" style="line-height:105%"><span style="font-size:12.0pt;line-height:105%;font-family:"Arial",sans-serif"><br>
Topics of interest include, but are not limited to:<br>
====================================</span><o:p></o:p></p>
<ul style="margin-top:0in" type="disc">
<li class="MsoNormal" style="color:black;margin-top:14.0pt;line-height:105%;mso-list:l1 level1 lfo3">
<span style="font-size:12.0pt;line-height:105%;font-family:"Arial",sans-serif">Novel algorithms and paradigms (deep learning, reinforcement learning, online learning etc.)</span><o:p></o:p></li><li class="MsoNormal" style="color:black;line-height:105%;mso-list:l1 level1 lfo3">
<span style="font-size:12.0pt;line-height:105%;font-family:"Arial",sans-serif">Use cases (product, content, fashion/decor, job, healthy lifestyle, interactive/conversational recommendations, etc.)</span><o:p></o:p></li><li class="MsoNormal" style="color:black;line-height:105%;mso-list:l1 level1 lfo3">
<span style="font-size:12.0pt;line-height:105%;font-family:"Arial",sans-serif">User modeling and representations (real-time user intent/style/taste modeling, combine with long term interest, incorporation of knowledge graph)</span><o:p></o:p></li><li class="MsoNormal" style="color:black;line-height:105%;mso-list:l1 level1 lfo3">
<span style="font-size:12.0pt;line-height:105%;font-family:"Arial",sans-serif">Architecture and infrastructure (novel and scalable deep learning architectures, steaming and event-driven processing, etc.)</span><o:p></o:p></li><li class="MsoNormal" style="color:black;line-height:105%;mso-list:l1 level1 lfo3">
<span style="font-size:12.0pt;line-height:105%;font-family:"Arial",sans-serif">Evaluations and explanations (evaluation, comparison, explanation of OARS for a recommendation task, off-policy and counterfactual evaluation, etc.)</span><o:p></o:p></li><li class="MsoNormal" style="color:black;margin-bottom:14.0pt;line-height:105%;mso-list:l1 level1 lfo3">
<span style="font-size:12.0pt;line-height:105%;font-family:"Arial",sans-serif">Social and user impact (UX, welfare, and objectives of OARS, privacy and ethics considerations, etc.)</span><o:p></o:p></li></ul>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Arial",sans-serif"><br>
Submission Instructions:<br>
==================<br>
All papers will be peer reviewed (single-blind) by the program committee and judged by their relevance to the workshop, especially to the main themes identified above, and their potential to generate discussion.<br>
<br>
All submissions must be formatted according to the ACM Conference Proceeding templates (two column format).<br>
<br>
Submissions must describe work that is not previously published, not accepted for publication elsewhere, and not currently under review elsewhere. All submissions must be in English.<br>
<br>
Please note that at least one of the authors of each accepted paper must register for the workshop and present the paper in-person.<br>
<br>
Submissions to KDD OARS workshop should be made at </span><span style="font-size:12.0pt"><a href="https://easychair.org/my/conference?conf=oarskdd2022"><span style="font-family:"Arial",sans-serif">https://easychair.org/my/conference?conf=oarskdd2022<br>
<br>
<br>
</span></a></span><span style="font-size:12.0pt;font-family:"Arial",sans-serif">ORGANIZERS:<br>
==================<br>
Xiquan Cui The Home Depot, USA</span><o:p></o:p></p>
<p class="MsoListParagraphCxSpFirst" style="margin-left:0in;mso-add-space:auto;line-height:105%">
<span style="font-size:12.0pt;line-height:105%;font-family:"Arial",sans-serif">Vachik Dave Walmart Labs, USA</span><o:p></o:p></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-left:0in;mso-add-space:auto;line-height:105%">
<span style="font-size:12.0pt;line-height:105%;font-family:"Arial",sans-serif">Yi Su UC Berkeley, USA</span><o:p></o:p></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-left:0in;mso-add-space:auto;line-height:105%">
<span style="font-size:12.0pt;line-height:105%;font-family:"Arial",sans-serif">Julian McAuley UCSD, USA</span><o:p></o:p></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-left:0in;mso-add-space:auto;line-height:105%">
<span style="font-size:12.0pt;line-height:105%;font-family:"Arial",sans-serif">Khalifeh Al-Jadda Google Inc, USA</span><o:p></o:p></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-left:0in;mso-add-space:auto;line-height:105%">
<span style="font-size:12.0pt;line-height:105%;font-family:"Arial",sans-serif">Srijan Kumar Georgia Institute of Technology, USA</span><o:p></o:p></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-left:0in;mso-add-space:auto;line-height:105%">
<span style="font-size:12.0pt;line-height:105%;font-family:"Arial",sans-serif">Tao Ye Amazon, USA</span><o:p></o:p></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-left:0in;mso-add-space:auto;line-height:105%">
<span style="font-size:12.0pt;line-height:105%;font-family:"Arial",sans-serif">Kamelia Aryafar Google Inc, USA</span><o:p></o:p></p>
<p class="MsoListParagraphCxSpLast" style="margin-left:0in;mso-add-space:auto;line-height:105%">
<span style="font-size:12.0pt;line-height:105%;font-family:"Arial",sans-serif">Mohammad Korayem CareerBuilder, Canada</span><o:p></o:p></p>
<p class="MsoNormal" style="line-height:105%"><span style="font-size:12.0pt;line-height:105%;font-family:"Arial",sans-serif"><br>
Contact: Please direct all your queries to </span><span style="font-size:12.0pt;line-height:105%"><a href="mailto:xiquan_cui@homedepot.com"><span style="font-family:"Arial",sans-serif">xiquan_cui@homedepot.com</span></a></span><span style="font-size:12.0pt;line-height:105%;font-family:"Arial",sans-serif">
for help.</span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-size:12.0pt"> </span><o:p></o:p></p>
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INTERNAL USE<br>
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