Recommendation Algorithm of Item Ratings Prediction Based on Cloud Model
Xiaohui Li · Jisuanji gongcheng · 2010
Aiming at the sparsity of user rating data and the drawbacks of traditional similarity measure methods,a novel recommendation algorithm based on cloud model is proposed.It predicts the item ratings that users have not rated by calculating the item similarity based on the cloud model.It calculates the similarity of users by using the cloud model to find the target users’ neighbors.Experimental results show that the algorithm can not only efficiently lower sparsity of rating data but also improve the recommend quality of the recommender system.