1. A method comprising: identifying, in a network, user selection preferences of an identified user having accessed the network, the identifying based on an accumulation of user selection inputs executed by the identified user, the user selection inputs accumulated relative to a context of input options presented to the user and identifying respective available network items, the accumulation relative to the context including an identification of the input options not having been selected by the identified user, the accumulation not including any rating values submitted by the identified user; classifying, by an apparatus in the network, the identified user into one of multiple user affinity categories relative to an advertisement campaign for a targeted product, the classifying based on determining whether one of the user selection inputs represents a view gesture of the user having viewed the targeted product, the user affinity categories including a lurker category of users containing at least the view gesture, the lurker category of users ordered based on respective user affinity values toward the targeted product, the lurker category containing a plurality of subcategories of users based on establishing an ordered list of influential content related to the targeted product and generated by a portion of the users in the lurker category, the user affinity categories further including a second ordered list of identified network users distinct from the lurker category and lacking the view gesture, the second ordered list of identified network users ordered based on their respective correlation of shared interests with the lurker category of users; and the apparatus selecting an advertisement asset for delivery to the identified user based on the classifying of the identified user into the one user affinity category, the advertisement asset selected from among multiple advertisement assets associated with the respective user affinity categories for the advertisement campaign.