A Hybrid Recommender Based on User Attribute Collaborative Filtering
LIAO Xiaoya
LIU Chuancai
XU Xiaofeng
PENG Furong
Abstract：Collaborative Filtering(CF)is widely used in recommender system. The collaborative filtering method based on us?er attribute information is often used to solve the problem of user cold start. In this paper,a hybrid method is proposed,which com?bines the user attribute information with the traditional way. The experimental results show that the performance of the hybrid system is significantly improved and stable compared with the traditional method.
Keywords：collaborative filteringuser attributehybrid recommender
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 1377-1381,1431 )