Suspicion classifier for website activity

A system and method of identifying suspicious item-related features are disclosed. In some embodiments, a new item listing is received. The item listing may correspond to a request to list an item for sale on an e-commerce website. Item-related data for the item listing may be extracted. The item-re...

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Bibliographische Detailangaben
Hauptverfasser: Johnson, Brian Scott, Salaka, Vamsi Krishna, Netzloff, Julie Lavee, Ching, Michael
Format: Patent
Sprache:eng
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Beschreibung
Zusammenfassung:A system and method of identifying suspicious item-related features are disclosed. In some embodiments, a new item listing is received. The item listing may correspond to a request to list an item for sale on an e-commerce website. Item-related data for the item listing may be extracted. The item-related data can be used by a model to classify the new item listing. The model may be trained on data comprising identifications of which item listings in the sample of item listings are suspicious and identifications of which item listings in the sample of item listings are not suspicious may be received.