Abstract: In this review, we attempt to highlight major concepts, techniques, challenges and future trends of context-aware recommender systems in social and scientific domains. The primary objective of this paper is to sum up the most recent developments in this rich knowledge area. A set of techniques and major frameworks available for context-based recommender systems are classified and introduced. Along with classical content-based, collaborative filtering and matrix factorization based techniques, we investigate the most recent research areas, i.e., deep learning and fuzzy logic based methodologies. Finally, we close by portraying potential future research opportunities with respect to utilizing context information in recommendation process.