Abstract: Systems and methods for authenticating objects associated with online activities are provided. For a target object involved in online activities, an authentication system accesses data associated with the target object and generates a featurized dataframe for the target object by processing the data associated with the target object. The authentication system further applies a machine learning model to the featurized dataframe to determine an authenticity indicator for the target object and assigns the target object to an authentication stream according to the authenticity indicator determined. Based on the results returned from the assigned authentication stream, the online activities involving the target object may be blocked or permitted.

Abstract: Systems and methods to predict bidding behavior are described. The system identifies a listing that includes listing information that describes an item that is being auctioned on a network-based marketplace. The system further identifies bid classification information based on the number of bids received for the item. Finally, the system predicts whether no more bids are expected to be received for the item based on the classification information.

Abstract: Systems and methods to predict bidding behaviour are described. The system identifies a listing that includes listing information that describes an item that is being auctioned on a network-based marketplace. The system further identifies bid classification information based on the number of bids received for the item. Finally, the system predicts whether no more bids are expected to be received for the item based on the classification information.