Acquaintance recommendation systems
First, what is the recommended system
Recommended system the birth background is information overload. The face of a flood of Internet information, such as: news, movies, books, music, we often do not know how to find the information to your taste. Maybe you can classify directory a positioning level, or if you know the movie-related information by entering into a search engine to find it, there is a way to know your tastes site, you recommend related movies. The first two methods require the user's own initiative to find, and the last is really a way to recommend sites private customized based on user behavior.
In simple terms, the system recommended by mining user behavior, find the user's personalized interests, so that the goods exactly recommend it to users who need it.