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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span style="font-family:"Arial",sans-serif">KDD 2025 Workshop on Online and Adaptive Recommender Systems (OARS)</span><span style="font-family:"Arial",sans-serif"><br>
<br>
</span><span style="font-family:"Arial",sans-serif">Call For Papers</span><span style="font-family:"Arial",sans-serif"><br>
</span><span style="font-family:"Arial",sans-serif">==================</span><span style="font-family:"Arial",sans-serif"><br>
<br>
</span><span style="font-family:"Arial",sans-serif">KDD OARS is a half day workshop taking place on August 6th, 2025 in conjunction with KDD 2025 in Toronro, Ontario</span>, Canada.<span style="font-family:"Arial",sans-serif"><br>
<br>
</span><span style="font-family:"Arial",sans-serif">Workshop website: </span><a href="https://oars-workshop.github.io/"><span style="font-family:"Arial",sans-serif">https://oars-workshop.github.io/</span></a><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif">Important Dates:</span><span style="font-family:"Arial",sans-serif"><br>
</span><span style="font-family:"Arial",sans-serif">==================</span><span style="font-family:"Arial",sans-serif"><br>
</span><span style="font-family:"Arial",sans-serif">- Submissions Due - May 8th, 2025</span><br>
- Notification - June 8th, 2025<br>
- Camera Ready Version of Papers Due - July 6th, 2025<br>
- Workshop Day - August 6th, 2025<span style="font-family:"Arial",sans-serif"><br>
<br>
</span><span style="font-family:"Arial",sans-serif">Details:</span><span style="font-family:"Arial",sans-serif"><br>
</span><span style="font-family:"Arial",sans-serif">==================</span><span style="font-family:"Arial",sans-serif"><br>
</span><span style="font-family:"Arial",sans-serif">The international workshop on Online and Adaptive Recommender Systems (OARS) will serve as a platform for publication and discussion of OARS. It will bring together practitioners and researchers from academia
and industry to discuss the challenges and new approaches to implement OARS algorithms and systems and improve user experiences by better modeling and responding to user intent.</span><br>
<br>
We invite submission of papers and posters, representing original research, new position and opinion, preliminary results, proposals for new tools, datasets, and resources. All submitted papers 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 style="font-family:"Times New Roman",serif"><o:p></o:p></span></p>
<p class="MsoNormal" style="line-height:106%"><span style="font-family:"Arial",sans-serif"><br>
</span><span style="font-family:"Arial",sans-serif">Topics of interest include, but are not limited to:</span><span style="font-family:"Arial",sans-serif"><br>
</span><span style="font-family:"Arial",sans-serif">====================================<span style="color:black"><o:p></o:p></span></span></p>
<ul type="disc">
<li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;mso-list:l0 level1 lfo1;background:white">
<span style="font-family:"Arial",sans-serif;color:black">(multi-modal) LLMs in RecSys (2025 special theme)</span><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></li><ul type="circle">
<li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;mso-list:l0 level2 lfo1;background:white">
<span style="font-family:"Arial",sans-serif;color:black">Conversational and interactive RecSys using LLMs</span><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;mso-list:l0 level2 lfo1;background:white">
<span style="font-family:"Arial",sans-serif;color:black">Humanized and adaptive recommendation experiences with LLMs</span><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;mso-list:l0 level2 lfo1;background:white">
<span style="font-family:"Arial",sans-serif;color:black">Enhance product understanding and representation using LLMs</span><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;mso-list:l0 level2 lfo1;background:white">
<span style="font-family:"Arial",sans-serif;color:black">Improve the generalization and relevancy of RecSys via LLMs</span><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;mso-list:l0 level2 lfo1;background:white">
<span style="font-family:"Arial",sans-serif;color:black">LLM backboned RecSys</span><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;mso-list:l0 level2 lfo1;background:white">
<span style="font-family:"Arial",sans-serif;color:black">Improve the explanation and reasoning of RecSys via LLMs</span><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;mso-list:l0 level2 lfo1;background:white">
<span style="font-family:"Arial",sans-serif;color:black">Evaluation of RecSys using LLMs</span><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;mso-list:l0 level2 lfo1;background:white">
<span style="font-family:"Arial",sans-serif;color:black">Scaling LLMs in RecSys</span><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;mso-list:l0 level2 lfo1;background:white">
<span style="font-family:"Arial",sans-serif;color:black">Evaluation for embedding, ranking, and other services</span><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></li></ul>
<li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;mso-list:l0 level1 lfo1;background:white">
<span style="font-family:"Arial",sans-serif;color:black">New algorithms and paradigms (foundation models, deep learning, reinforcement learning, online learning etc.)</span><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;mso-list:l0 level1 lfo1;background:white">
<span style="font-family:"Arial",sans-serif;color:black">New use cases (product, content, fashion/decor, job, healthy lifestyle, interactive/conversational recommendations, etc.)</span><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;mso-list:l0 level1 lfo1;background:white">
<span style="font-family:"Arial",sans-serif;color:black">New user modeling and representations (real-time user intent/style/taste modeling, combine with long term interest, incorporation of knowledge graph)</span><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;mso-list:l0 level1 lfo1;background:white">
<span style="font-family:"Arial",sans-serif;color:black">New product understanding and representation methodologies</span><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;mso-list:l0 level1 lfo1;background:white">
<span style="font-family:"Arial",sans-serif;color:black">New architecture and infrastructure (RAG and similar architectures, novel and scalable deep learning architectures, steaming and event-driven processing, etc.)</span><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;mso-list:l0 level1 lfo1;background:white">
<span style="font-family:"Arial",sans-serif;color:black">New evaluations and explanations methods (evaluation, comparison, explanation of OARS for a recommendation task, off-policy and counterfactual evaluation, etc.)</span><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;mso-list:l0 level1 lfo1;background:white">
<span style="font-family:"Arial",sans-serif;color:black">New social and user impact areas (UX, welfare, objectives of OARS, privacy and ethics considerations, etc.)</span><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></li></ul>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif"><br>
</span><span style="font-family:"Arial",sans-serif">Submission Instructions:</span><span style="font-family:"Arial",sans-serif"><br>
</span><span style="font-family:"Arial",sans-serif">==================</span><span style="font-family:"Arial",sans-serif"><br>
</span><span style="font-family:"Arial",sans-serif">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.</span><span style="font-family:"Arial",sans-serif"><br>
<br>
</span><span style="font-family:"Arial",sans-serif">All submissions must be formatted according to the ACM Conference Proceeding templates (two column format).</span><span style="font-family:"Arial",sans-serif"><br>
<br>
</span><span style="font-family:"Arial",sans-serif">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.</span><span style="font-family:"Arial",sans-serif"><br>
<br>
</span><span style="font-family:"Arial",sans-serif">Please note that at least one of the authors of each accepted paper must register for the workshop and present the paper in-person.</span><span style="font-family:"Arial",sans-serif"><br>
<br>
</span><span style="font-family:"Arial",sans-serif">Submissions to KDD OARS workshop should be made at
<a href="https://easychair.org/my/conference?conf=oarskdd2025">https://easychair.org/my/conference?conf=oarskdd2025</a></span><span style="font-family:"Arial",sans-serif"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif"><br>
</span><span style="font-family:"Arial",sans-serif">ORGANIZERS:</span><span style="font-family:"Arial",sans-serif"><br>
</span><span style="font-family:"Arial",sans-serif">==================</span><span style="font-family:"Arial",sans-serif"><br>
</span><span style="font-family:"Arial",sans-serif">Xiquan Cui</span><span style="font-family:"Arial",sans-serif">
</span><span style="font-family:"Arial",sans-serif"> The Home Depot, USA<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif">Derek Zhiyuan Cheng Google, USA<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif">Fei Liu Emory University, USA<o:p></o:p></span></p>
<p class="MsoListParagraphCxSpFirst" style="margin-left:0in;mso-add-space:auto;line-height:106%">
<span style="font-family:"Arial",sans-serif">Tao Ye</span><span style="font-family:"Arial",sans-serif">
</span><span style="font-family:"Arial",sans-serif">Amazon, USA<span style="color:black"><o:p></o:p></span></span></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-left:0in;mso-add-space:auto;line-height:106%">
<span style="font-family:"Arial",sans-serif">Julian McAuley</span><span style="font-family:"Arial",sans-serif">
</span><span style="font-family:"Arial",sans-serif">UCSD, USA<o:p></o:p></span></p>
<p class="MsoListParagraphCxSpMiddle" style="margin-left:0in;mso-add-space:auto;line-height:106%">
<span style="font-family:"Arial",sans-serif">Vachik Dave</span><span style="font-family:"Arial",sans-serif">
</span><span style="font-family:"Arial",sans-serif">Walmart Labs, USA<o:p></o:p></span></p>
<p class="MsoListParagraphCxSpLast" style="margin-left:0in;mso-add-space:auto;line-height:106%">
<span style="font-family:"Arial",sans-serif;background:white;mso-highlight:white">Stephen Guo</span><span style="font-family:"Arial",sans-serif">
</span><span style="font-family:"Arial",sans-serif">
</span><span style="font-family:"Arial",sans-serif">Indeed, USA<o:p></o:p></span></p>
<p class="MsoNormal" style="line-height:106%"><span style="font-family:"Arial",sans-serif"><br>
</span><span style="font-family:"Arial",sans-serif">Contact: Please direct all your queries to
</span><a href="mailto:xiquan_cui@homedepot.com"><span style="font-family:"Arial",sans-serif">xiquan_cui@homedepot.com</span></a><span style="font-family:"Arial",sans-serif"> for help.<span style="color:black"><o:p></o:p></span></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<div>
<div>
<p class="MsoNormal"><b><span style="font-size:13.5pt;font-family:"Calibri",sans-serif;color:#122C47;mso-ligatures:none">Xiquan Cui</span></b><span style="font-size:13.5pt;font-family:"Calibri",sans-serif;color:black;mso-ligatures:none"><o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:8.0pt;font-family:"Calibri",sans-serif;color:#122C47;mso-ligatures:none">Senior Manager of Online Data Science</span></b><span style="font-size:13.5pt;font-family:"Calibri",sans-serif;color:black;mso-ligatures:none"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:8.0pt;font-family:"Calibri",sans-serif;color:#00004F;mso-ligatures:none"><a href="mailto:xiquan_cui@homedepot.com" title="mailto:xiquan_cui@homedepot.com"><span style="color:#480048">xiquan_cui@homedepot.com</span></a></span><span style="font-size:13.5pt;font-family:"Calibri",sans-serif;color:black;mso-ligatures:none"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:#122C47;mso-ligatures:none">O</span><span style="font-size:8.0pt;font-family:"Calibri",sans-serif;color:#122C47;mso-ligatures:none">ffice: (770)433-8211 x80588</span><span style="font-size:13.5pt;font-family:"Calibri",sans-serif;color:black;mso-ligatures:none"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:8.0pt;font-family:"Calibri",sans-serif;color:#122C47;mso-ligatures:none"> </span><span style="font-size:13.5pt;font-family:"Calibri",sans-serif;color:black;mso-ligatures:none"><o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:8.0pt;font-family:"Calibri",sans-serif;color:#FF8000;mso-ligatures:none">The Home Depot</span></b><span style="font-size:13.5pt;font-family:"Calibri",sans-serif;color:black;mso-ligatures:none"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:8.0pt;font-family:"Calibri",sans-serif;color:#2D4E8A;mso-ligatures:none">320 </span><span style="font-size:8.0pt;font-family:"Calibri",sans-serif;color:white;background:#6A5A00;mso-ligatures:none">Interstate</span><span style="font-size:8.0pt;font-family:"Calibri",sans-serif;color:#2D4E8A;mso-ligatures:none"> North
Pkwy SE, Atlanta, GA 30339</span><span style="font-size:13.5pt;font-family:"Calibri",sans-serif;color:black;mso-ligatures:none"><o:p></o:p></span></p>
</div>
</div>
<p class="MsoNormal"><o:p> </o:p></p>
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