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tailored academic page
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<!-- Primary Meta Tags -->
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<!-- Primary Meta Tags -->
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<!-- TODO: Replace with your paper title and author names -->
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<meta name="title" content="PHANTOM: Pricing Heuristics Against Non-human Transaction Orchestration Mechanisms">
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<meta name="title" content="PAPER_TITLE - AUTHOR_NAMES">
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<meta name="description" content="Developing pricing heuristics to protect e-commerce platforms from systematic exploitation by LLM agents in dynamic pricing environments through behavioral signature detection.">
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<meta name="keywords" content="dynamic pricing, LLM agents, e-commerce security, behavioral detection, pricing heuristics, recommendation systems, agent detection, AI security, pricing integrity">
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<meta name="description" content="BRIEF_DESCRIPTION_OF_YOUR_RESEARCH_CONTRIBUTION_AND_FINDINGS">
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<meta name="author" content="Daniel Alves Rösel">
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<meta name="keywords" content="KEYWORD1, KEYWORD2, KEYWORD3, machine learning, computer vision, AI">
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<meta name="language" content="English">
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<meta property="og:type" content="article">
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<meta property="og:site_name" content="PHANTOM Research">
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<meta property="og:site_name" content="INSTITUTION_OR_LAB_NAME">
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<meta property="og:title" content="PHANTOM: Pricing Heuristics Against Non-human Transaction Orchestration Mechanisms">
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<meta property="og:description" content="Developing pricing heuristics to protect e-commerce platforms from systematic exploitation by LLM agents in dynamic pricing environments through behavioral signature detection.">
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<meta property="og:title" content="PAPER_TITLE">
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<meta property="og:url" content="TODO">
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<meta property="og:url" content="https://YOUR_DOMAIN.com/YOUR_PROJECT_PAGE">
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<meta property="og:image" content="https://YOUR_DOMAIN.com/static/images/social_preview.png">
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<meta property="og:image:width" content="1200">
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<meta property="og:image:width" content="1200">
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<meta property="og:image:height" content="630">
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<meta property="og:image:height" content="630">
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<meta property="og:image:alt" content="PAPER_TITLE - Research Preview">
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<meta property="og:image:alt" content="PHANTOM Research Preview">
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<meta property="article:published_time" content="2024-01-01T00:00:00.000Z">
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<meta property="article:published_time" content="2025-01-01T00:00:00.000Z">
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<meta property="article:author" content="FIRST_AUTHOR_NAME">
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<meta property="article:author" content="Daniel Alves Rösel">
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<meta property="article:section" content="Research">
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<meta property="article:section" content="Research">
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<meta property="article:tag" content="KEYWORD1">
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<meta property="article:tag" content="dynamic pricing">
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<meta property="article:tag" content="KEYWORD2">
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<meta property="article:tag" content="LLM agents">
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<meta name="twitter:image:alt" content="PAPER_TITLE - Research Preview">
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<meta name="twitter:image:alt" content="PAPER_TITLE - Research Preview">
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<!-- Academic/Research Specific -->
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<meta name="citation_title" content="PAPER_TITLE">
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<meta name="citation_title" content="Pricing Heuristics Against Non-human Transaction Orchestration Mechanisms">
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<meta name="citation_author" content="FIRST_AUTHOR_LAST, FIRST_AUTHOR_FIRST">
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<meta name="citation_author" content="Rösel, Daniel">
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<meta name="citation_author" content="SECOND_AUTHOR_LAST, SECOND_AUTHOR_FIRST">
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<meta name="citation_publication_date" content="2025">
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<meta name="citation_publication_date" content="2024">
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<meta name="citation_conference_title" content="IE University Bachelor's Thesis">
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<meta name="citation_conference_title" content="CONFERENCE_NAME">
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<meta name="citation_pdf_url" content="TODO">
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<title>PHANTOM: Pricing Heuristics Against Non-human Transaction Orchestration Mechanisms - Daniel Rösel | Academic Research</title>
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<title>PAPER_TITLE - AUTHOR_NAMES | Academic Research</title>
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"name": "INSTITUTION_OR_LAB_NAME",
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"name": "IE University",
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"url": "https://YOUR_INSTITUTION_WEBSITE.com",
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"url": "https://www.ie.edu",
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<h1 class="title is-1 publication-title">Pricing Heuristics Against Non-human Transaction Orchestration Mechanisms</h1>
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<h1 class="title is-1 publication-title">Academic Project Page</h1>
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<a href="FIRST AUTHOR PERSONAL LINK" target="_blank">First Author</a><sup>*</sup>,</span>
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<a href="https://alves.world" target="_blank">Daniel Rösel</a></span>
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<a href="SECOND AUTHOR PERSONAL LINK" target="_blank">Second Author</a><sup>*</sup>,</span>
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<span class="author-block">IE University<br>Bachelor's Thesis 2025</span>
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<span class="author-block">Institution Name<br>Conference name and year</span>
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<span class="eql-cntrb"><small><br>Advisor: <a href="SECOND AUTHOR PERSONAL LINK" target="_blank">Alberto Martín Izquierdo</a></small></span>
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<span class="eql-cntrb"><small><br><sup>*</sup>Indicates Equal Contribution</small></span>
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<span class="link-block">
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<a href="https://github.com/YOUR REPO HERE" target="_blank"
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<a href="https://github.com/velocitatem/PHANTOM" target="_blank"
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class="external-link button is-normal is-rounded is-dark">
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<h2 class="title is-3">Abstract</h2>
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Lorem ipsum dolor sit amet, consectetur adipiscing elit. Proin ullamcorper tellus sed ante aliquam tempus. Etiam porttitor urna feugiat nibh elementum, et tempor dolor mattis. Donec accumsan enim augue, a vulputate nisi sodales sit amet. Proin bibendum ex eget mauris cursus euismod nec et nibh. Maecenas ac gravida ante, nec cursus dui. Vivamus purus nibh, placerat ac purus eget, sagittis vestibulum metus. Sed vestibulum bibendum lectus gravida commodo. Pellentesque auctor leo vitae sagittis suscipit.
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The primary objective of this thesis is to develop and validate pricing heuristics that protect e-commerce platforms from systematic exploitation by Large Language Model (LLM) agents within dynamic pricing environments. As AI agents increasingly mediate consumer transactions, they enable users to circumvent the Cost of Information (the price premium accumulated through demand signal expression) by conducting reconnaissance in isolated sessions before executing purchases through clean sessions at base prices. This research will make an anticipatory contribution by adapting recommendation system methodologies to distinguish between genuine human browsing behaviour and agent-orchestrated information gathering, thereby enabling pricing systems to maintain margin integrity without degrading the user experience for legitimate customers or getting rid of leads generated by LLMs.
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<span class="copy-text">Copy</span>
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<pre id="bibtex-code"><code>@article{YourPaperKey2024,
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<pre id="bibtex-code"><code>@thesis{Rosel2025PHANTOM,
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title={Your Paper Title Here},
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title={Pricing Heuristics Against Non-human Transaction Orchestration Mechanisms},
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author={First Author and Second Author and Third Author},
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author={R{\"o}sel, Daniel},
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journal={Conference/Journal Name},
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school={IE University},
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year={2024},
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year={2025},
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url={https://your-domain.com/your-project-page}
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address={Madrid, Spain},
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type={Bachelor's Thesis},
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note={Advisor: Alberto Mart{\'i}n Izquierdo}
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}</code></pre>
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}</code></pre>
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</div>
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</div>
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</section>
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</section>
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