Research on Personalized Recommendation Algorithm Based on Social Network
Linke Zhu, Ge, Wei · ASME Press eBooks · 2011
Based on the issue that users have faced a lot of miscellaneous information in social network, this paper proposes a personalized recommendation algorithm for social network. Firstly, the algorithm produces similar content items by digging user generated contents. Secondly, on the basis of similar content items, it predicates the items which users are interested in, then recommends to users. Experiments show that this recommendation algorithm also has higher precision when data are sparse.