Research on the Cold Start in Personalized Recommendation Systems
Introduces the cold start in personalized recommendation systems, analyzes several ways to solve the cold start, such as using the register information, starting user's interest with appropriate item, using the content information of item and expert's function, which provides ref-erence for solving the cold start in recommendation systems.