A Review of Tag-aware Recommender Systems

A Review of Tag-aware Recommender Systems

Due to the recent growth in online data about customers and the growing social web content due to the ever-increasing popularity of social media services, tag-aware recommendation systems are attracting more attention. Tag-aware recommendation systems effectively reveal user preferences and extract latent semantic information of items through social tag information. Therefore, a review of the present status of the literature on tag-aware recommendation systems is necessary to identify future research possibilities and directions. This article reviews the research direction in terms of approaches used, application domains, challenges and problems related to developing a system of recommendations, and evaluation metrics used to evaluate performance. In addition, we offer a thorough quantitative evaluation of the research in this field. Finally, we discuss the insights gained and potential directions for further research.