User lifetime revenue allocation associated with provisioned content recommendations

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;
• generating a general grade associated with each of the plurality of candidate content recommendations in a first high-quality candidate content recommendation pool;
• generating a personalized grade associated with each of the plurality of candidate recommendations in the first high-quality candidate content recommendation pool, wherein the personalized grade is generated in view of personal information associated with a first user of a user system;
• determining a 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 scoped content recommendations;
• displaying, via a web page of a publisher system, the content recommendation scope to the user system;
• detecting an initial user engagement metric corresponding to a first content recommendation of the content recommendation scope, wherein the first content recommendation is generated by a recommendation-source system;
• and
• allocating a token value associated with the first content recommendation to the publisher system.