ATTRIBUTION OF ACTIVITY IN MULTI-USER SETTINGS

摘要

The claimed subject matter includes a system and method for attribution of search activity in multi-user settings. The method includes training a classifier to distinguish between machines that are single-user and multi-user based on activity logs of an identified machine. The identified machine is determined to be multi-user based on the classifier. A number of users is estimated for the identified machine. Activity of the users is clustered based on the number of users estimated. A similarity function is learned for the number of users estimated. The method also includes assigning new activity to one of the users based on the clustering, and the similarity function.

主权项

1. A method for attribution of activity in multi-user settings, the method comprising:
training a classifier to distinguish between machines that are single-user and multi-user based on activity logs of an identified machine; determining the identified machine is multi-user based on the classifier; estimating a number of users for the identified machine; clustering activity of the users based on the number of users estimated; learning a similarity function for the number of users estimated; and assigning new activity to one of the users based on the clustering, and the similarity function.