Abstract: The disclosed embodiments provide methods and apparatuses for selecting and recommending presentation objects, so as to solve the problems in current systems where presentation objects for participating in a service are determined manually which have the problems of subjectivity, low efficiency, and have high error rates.

Abstract: Embodiments of the present application relate to a method for recommending information, a system for recommending information, and a computer program product for recommending information. A method for recommending information is provided. The method includes determining a set of specific first users comprising at least one specific first user who complies with a first preset condition, the determination being based on operating behavior information of a set of one or more first users recorded in a system, looking up, in the set of specific first users, targeted specific first users having a similarity to a current user who complies with a second preset condition, and providing recommendation information to the current user based on the operating behavior information of the targeted specific first users.