Bahrani, Payam
Department of Computer Engineering, Science and Research branch, Islamic Azad University, Tehran, IR
[ 1 ] - Hybrid Recommender System Based on Variance Item Rating
K-nearest neighbors (KNN) based recommender systems (KRS) are among the most successful recent available recommender systems. These methods involve in predicting the rating of an item based on the mean of ratings given to similar items, with the similarity defined by considering the mean rating given to each item as its feature. This paper presents a KRS developed by combining the following app...
نویسندگان همکار