1. A method comprising: establishing, by a processing device, a plurality of high-quality candidate content recommendation pools, wherein each of the plurality of high-quality candidate content recommendation pools comprises a plurality of candidate content recommendations each associated with a user engagement measurement determined in view of one or more user trust signals associated with the plurality of candidate content recommendations, the one or more user trust signals indicate that a first high-quality candidate content recommendation pool has a highest relative click through rate (CTR) for a first geographic location; identifying the first high-quality candidate content recommendation pool of the plurality of high-quality candidate recommendation pools; generating a general grade associated with each of the plurality of candidate content recommendations in the first high-quality candidate content recommendation pool; generating a user profile and online activity tracking cookie associated with a first user, wherein the user profile comprises registration information collected by an online registration of the first user; collecting, by the online activity tracking cookie, activity information associated with the first user, wherein the activity information indicates the first user is in the first geographic location; generating a personalized grade associated with each of the plurality of candidate content recommendations in the first high-quality candidate content recommendation pool, wherein the personalized grade is generated by adjusting the general grade in view of the user profile associated with the first user, and wherein the user profile comprises the registration information and activity information collected by the online activity tracking cookie; determining a content recommendation scope associated with the first user in view of the personalized grade associated with each of the plurality of candidate content recommendations, wherein the content recommendation scope comprise one or more content recommendations; and causing a display of the content recommendation scope to the first user.