การเปรียบเทียบประสิทธิภาพการตรวจจับการทุจริตด้วยการเพิ่มชื่อเสียงบนเว็บไซต์การประมูลออนไลน์ระหว่างเอนโทรปีของ Shannon และนาอีฟเบย์
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การทุจริตการประมูลออนไลน์เป็นปัญหาที่สำคัญและมีความวิกฤตต่อเว็บไซต์การประมูลออนไลน์ ในงานวิจัยที่ผ่านมาได้มีการนำเสนอแนวคิดในการคำนวณความหลากหลายของเพื่อนบ้านโดยใช้วิธีเอนโทรปีของ Shannon เพื่อใช้ในการจำแนก ผู้ใช้งานที่มีเจตนาทุจริต (Fraudster) ออกจากผู้ใช้งานทั่วไปที่ไม่มีเจตนาร้ายแอบแฝง (Legitimate user) ในงานวิจัยฉบับนี้นำเสนอวิธีการคำนวณความหลากหลายของเพื่อนบ้านด้วยวิธีความน่าจะเป็นของนาอีฟเบย์ จากนั้นทำการทดสอบประสิทธิภาพในการจำแนก Fraudster กับข้อมูลการทำธุรกรรมการซื้อ-ขายที่เกิดขึ้นจริงบนเว็บไซต์การประมูลออนไลน์ จากผลการทดสอบประสิทธิภาพแสดงให้เห็นว่าการคำนวณความหลากหลายของเพื่อนบ้านทั้งสองวิธีมีประสิทธิภาพในการจำแนก Fraudster ที่ใกล้เคียงกัน
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ผลงานที่ได้รับการตีพิมพ์ ถือเป็นลิขสิทธิ์ของวารสารฯ
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