A new user similarity model to improve the accuracy of collaborative filtering ?
We first analyze the shortages of the existing similarity measures in collaborative filtering. And second, we propose a new user similarity model to overcome these drawbacks. We compare the new model with many other similarity measures on two real data sets. Experiments show that the new model can reach better performance than many existing similarity measures.
user similarity collaborative filtering recommended precision cold user recommender systems