An improved recommendation algorithm
Da-Ren He · Journal of Yangzhou University · 2009
This paper presents an improved algorithm for personal recommendation.It takes not only the merchandise selected by users into account,but also the ratings given by the users.Then,it considers the inherent similarities between the users.Combining these two factors together,a new algorithm is developed.The numerical simulation results show that the presented algorithm can obviously enhance the accuracy and personality of the recommendation.