By increase in the amount of movies offered through the web, people require a mean to find and evaluate these many alternatives. Recommender systems are a solution to this problem. Actually, recommendation systems are emerging as an important business application with significant economic impact. Movie recommendation systems such as Netflix or our proposed system (MovieIt) recommend movies to users. In fact, recommender systems help consumers, to find out about new products, and this increases sales diversity. Providing these kinds of systems is an incentive for movie companies, because it can help them increase profits. Read the rest of this entry »

All the people rely on recommendations from other people. These recommendations can be either by reviews of movies and books that are printed in newspapers and magazines, recommendation letters, or general surveys. This is called a social process that can be assisted and augmented by recommender systems. Recommender systems that have become increasingly popular are a way for people to make their decisions. These decisions are based on other individuals’ recommendations and choices can be made without sufficient knowledge or experience of alternatives. Typically recommendations are considered as inputs of recommender systems. Read the rest of this entry »