LEARNED NEGATIVE TARGETING FEATURES FOR ADS BASED ON NEGATIVE FEEDBACK FROM USERS

摘要

An online system stores profiles describing characteristics of a plurality of users. An advertisement is presented to a first group of users. A subset of the first group, comprising a second group of users, provides explicit negative feedback for the advertisement. The negative feedback indicates the users' lack of interest in the advertisement. The online system identifies characteristics of the second group of users and determines a cluster of users other than the users in the first group. For each user in the cluster, the online system determines whether to provide the advertisement to the user based at least in part on the user's inclusion in the cluster.