Predicting an identity of a person based on an activity history

A non-transitory computer-readable medium comprising instructions which, when executed by one or more computing devices, cause the one or more computing devices to implement a method, the method comprising:

• receiving a list of subject activities accessed by a subject person;
• accessing, in one or more data repositories, for each of a plurality of stored persons, a stored list of activities accessed by the stored person;
• calculating an intersection between the list of subject activities and the stored list of activities for at least one stored person from the plurality of stored persons;
• predicting, based on the calculated intersection, that the subject person is likely to correspond to the at least one stored person from among the plurality of stored persons;
• and
• providing an indication that the subject person is likely to correspond to the at least one stored person from among the plurality of stored persons.

A system comprising:

• one or more processors;
• and
• a memory comprising instructions which, when executed by the one or more processors, cause the one or more processors to implement a method, the method comprising:
• receiving a list of subject activities accessed by a subject person;
• accessing, in one or more data repositories, for each of a plurality of stored persons, a stored list of activities accessed by the stored person;
• calculating an intersection between the list of subject activities and the stored list of activities for at least one stored person from the plurality of stored persons;
• predicting, based on the calculated intersection, that the subject person is likely to correspond to the at least one stored person from among the plurality of stored persons;
• and
• providing an indication that the subject person is likely to correspond to the at least one stored person from among the plurality of stored persons.