Recommendation for Movies and Stars Using YAGO and IMDB

Most of the recommendation systems aim to make suggestions for individuals rather than a group of users. However, people are sociable and most of the items to be recommended like movies, restaurants, tourist destinations, etc. are for group ...

The Netflix Prize (NP) competition gave much attention to collaborative filtering (CF) approaches. Matrix factorization (MF) based CF approaches assign low dimensional feature vectors to users and items. We link CF and content-based filtering (CBF) by ...

Personalized recommendation systems are web-based systems that aim at predicting a user’s interest on available products and services by relying on previously rated items and dealing with the problem of information and product overload. User demography ...