Name
Abstract | ||
|---|---|---|
Product images serve an important role in online auction listings. As thriving businesses, online auction sites often host millions of concurrent auction listings. Where space is limited (such as on the page of auction search results), only product images are displayed to users as an overview of all auction listings. To stand out from competitors, veteran sellers often edit product images to attract potential buyers. Over time, many sellers have developed their own editing styles that recurrently appear in their image pool and are mostly distinct from other sellers, indicating a promising feature for seller profiling. Seller profiling is fundamental for the detection of account anomalies, which are often related to fraudulent acts. Numerous online auction guides suggest that buyers watch for anomalies in a seller's auction listings (such as sudden changes in product categories, auction templates, and text fonts), because such anomalies often indicate account takeovers. Researchers have proposed computational methods to encode such features and automate the detection of anomalies and frauds. However, little previous work has leveraged product images, a major component of auction listings. We developed an automatic algorithm that can extract image editing styles to establish seller profiles. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/MMUL.2012.12 | IEEE Multimedia |
Keywords | Field | DocType |
image-editing styles,business,automatic algorithm,account anomaly detection,auction frauds,auction templates,image matching,editing style,user profiling,product image,fraudulent act,multimedia,image editing style,image-editing style,profiling online auction,online auction guides,fraud,online auction listings,internet,account anomaly,electronic commerce,local feature,online auction seller profile,concurrent auction listings,seller profiling,product categories,security of data,edge detection,visualization,feature extraction | World Wide Web,Profiling (computer programming),Visualization,Computer science,Image editing,Feature extraction,Multimedia,Product (category theory),Forward auction,The Internet,Competitor analysis | Journal |
Volume | Issue | ISSN |
19 | 1 | 1070-986X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lin Yang | 1 | 0 | 0.34 |
| Wei-Bang Chen | 2 | 97 | 18.16 |
| Chengcui Zhang | 3 | 789 | 84.56 |
| John K. Johnstone | 4 | 149 | 18.61 |
| Song Gao | 5 | 6 | 1.91 |
| Gary Warner | 6 | 119 | 12.43 |