[1]GUO Xin-ming,YI Gai-zhen.A hybrid algorithm to track drift of user’s interests[J].CAAI Transactions on Intelligent Systems,2010,5(2):181-184.
Copy

A hybrid algorithm to track drift of user’s interests

References:
[1]KLINKENBERG R. Learning drifting concepts: example selection vs example weighting[J]. Intelligent Data Analysis, 2004,8(3):281300.
[2]KOYCHEV I, SCHWAB I. Adaptation to drifting user’s intersects[C]//Proceedings of ECML.Barcelona, Spain:IEEE Press,2000:3945.
[3]郑先荣,汤泽滢.适应用户兴趣变化的非线性逐步遗忘协同过滤算法[J].计算机辅助工程,2007,16(2):6973.
ZHENG Xianrong, TANG Zeying. Nonlineal gradual forgetting collaborative filtering algorithm capable of adapting to users drifting interest[J]. Computer Aided Engineering, 2007,16(2):6973.
[4]杨炳钧.认知心理学[M].北京:中国轻工业出版社,2006:137164.
[5]宋丽哲,牛振东.一种基于混合模型的用户兴趣漂移方法[J].计算机工程,2006,32(1):46.
SONG Lizhe, NIU Zhendong. A method of drifting user’s interests based on hybrid model[J]. Computer Engineering, 2006,32(1):46.
[6]曹 毅,贺卫红.基于用户兴趣的混合推荐模型[J].系统工程,2009,27(6):6872.
CAO Yi, HE Weihong. Mixed recommender model based on user’s interest[J].Systems Engineering, 2009,27(6):6872.
[7]费洪晓,戴 弋.基于优化时间窗的用户兴趣模型漂移方法[J].计算机工程,2008,34(16):210214.
?FEI Hongxiao, DAI Yi. Method of drifting user’s interests based on time window optimization[J]. Computer Engineering, 2008,34(16):210214.
Similar References:

Memo

-

Last Update: 2010-05-24

Copyright © CAAI Transactions on Intelligent Systems