Toward a General Theory of Affective Content Recommendation: Cognitive-Computational Recommendation Framework (CCRF)

A unified theoretical framework for recommending affective content—such as songs, films, and books—by treating text as the primary carrier of human–interpretable meaning. The work formalizes multi-scale semantic extraction, human preference modeling, and trajectory-based similarity recommendation.