Layered recommendation: A new strategy for movie promotion

Traditional Top-N strategy for movie recommendation takes only users´ ratings into account when mining users´ needs or interests. But watching movie is a special behavior, in which users´ interests should not just be represented by their ratings. We think that the decision to watch a movie also reflects the target users´ needs, even though he or she may give it a low rating. In this paper, we introduce two factors, i.e. Users´ Tastes and Users´ Choices to describe users´ needs. The analysis of relationships between them gives us a new explanation for the layered structure of users´ ratings. Then, inspired by Maslow´s Hierarchy of Needs theory, we present a layered perspective of users´ interests and design an efficient and effective recommendation strategy based on collaborative filtering models to meet users´ layered needs.