Definition: The term "pay-per-object" (PPo) refers to a type of insurance policy that uses machine learning algorithms to predict which objects are likely to be stolen and then deduct a fee from those premiums. In essence, the PPo algorithm compares an object's appearance with historical data stored in a database or other system. If it is determined that the object matches a pattern previously seen in the database, then the premium paid will increase. Conversely, if the object does not match any of the patterns, no premium will be charged. This technology has been successfully used by companies like Microsoft to prevent data breaches and identity theft, as well as by banks to reduce fraud rates on credit card purchases. PPo is becoming increasingly popular due to its ability to predict potential risks and savings.
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