A recommendation system is an effective supporting tool for a user to obtain the relevant result and avoid information overloading. However, the user cold-start problem has occurred when the system does not have adequate information about the user. In this project, we propose a content-based filtering method that applies the movie genres for finding the similarities among movies. We use the Term F...Show More
Tag recommendation models serve as extracting metadata for target objects like images, videos and Web pages. However, these models tackle cold start problem due to absence of initial tags. To improve tag quality in tag recommendation services, most of previous works exploit the statistical properties such as co-occurrence patterns or term frequency to predict the candidate tags to a target object....Show More
