[1] 朱夏,宋爱波,东方,等.云计算环境下基于协同过滤的个性化推荐机制[J].计算机研究与发展,2014,51(10):2255-2269.(ZHU X, SONG A B, DONG F, et al. A collaborative filtering recommendation mechanism for cloud computing [J]. Journal of Computer Research and Development, 2014, 51(10): 2255-2269.) [2] 谢意,陈德人,干红华.基于浏览偏好挖掘的实时商品推荐方法[J].计算机应用,2011,31(1):89-92.(XIE Y,CHEN D R,GAN H H. Real-time recommendation method based on browsing preferences mining [J]. Journal of Computer Applications, 2011,31(1):89-92.) [3] 李建廷,郭晔,汤志军. 基于用户浏览行为分析的用户兴趣度计算[J]. 计算机工程与设计,2012,33(3):968-972.(LI J T, GUO Y,TANG Z J. User interest degree calculating based on analysis users' browsing behaviors [J]. Computer Engineering and Design, 2012,33(3):968-972.) [4] 周涛,李华.基于用户情景的协同过滤推荐[J].计算机应用,2010,30(4):1076-1078.(ZHOU T, LI H. User context based collaborative filtering recommendation [J]. Journal of Computer Applications, 2010,30(4):1076-1078.) [5] HONG J Y, SUH E H, KIM S J. Context-aware system: a literature review and classification [J]. Expert Systems with Applications, 2009,36(4):8509-8522. [6] DAO T H, JEONG S R, AHN H. A novel recommendation model of location-based advertising: context-aware collaborative filtering using GA approach [J]. Expert Systems with Applications, 2012,39(3):3731-3739. [7] 邓晓懿,金淳,韩庆平,等.基于情境聚类和用户评级的协同过滤推荐模型[J].系统工程理论与实践,2013,33(11):2945-2953.(DENG X Y, JIN C, HAN Q P, et al. Improved collaborative filtering model based on context clustering and user ranking [J]. Systems Engineering—Theory and Practice, 2013,33(11):2945-2953.) [8] 琚春华,鲍福光.基于情境和主体特征融入性的多维度个性化推荐模型研究[J].通信学报,2012,33(Z1):17-27.(JU C H, BAO F G. Research on a multidimensional personalized recommendation model based on a situation and characteristics of the users [J]. Journal on Communications, 2012,33(Z1):17-27.) [9] 杨君,莫赞,艾丹祥,等.基于推荐函数情景化的多维信息推荐研究[J].情报杂志,2014,33(2):149-154.(YANG J, MO Z, AI D Y, et al. Research on multi-dimensional information recommendation based on contextualization of recommendation function [J]. Journal of Intelligence, 2014, 33(2):149-154.) [10] 蒋胜,王忠群,修宇,等.集成社会化标签和用户背景信息的协同过滤推荐方法[J].计算机应用,2014,34(8):2328-2331. (JIANG S,WANG Z Q, XIU Y, et al. Collaborative filtering recommendation method of integrating social tags and users background information [J]. Journal of Computer Applications, 2014,34(8):2328-2331.) [11] 黄武汉,孟祥武,王立才.移动通信网中基于用户社会化关系挖掘的协同过滤算法[J].电子与信息学报,2011,33(12):3002-3007.(HUANG W H, MENG X W, WANG L C. A collaborative filtering algorithm based on users' social relationship mining in mobile communication network [J]. Journal of Electronics and Information Technology, 2011,33(12):3002-3007.) [12] 李德毅,杜鹢.不确定性人工智能[M].北京:国防工业出版社,2014:40-49.(LI D Y, DU Y. Uncertainty artificial intelligence [M]. Beijing: National Defense Industry Press, 2014:40-49.) [13] 张光卫,李德毅,李鹏,等.基于云模型的协同过滤推荐算法[J].软件学报,2007,18(10):2403-2411.(ZHANG G W, LI D Y, LI P, et al. A collaborative filtering recommendation algorithm based on cloud model [J]. Journal of Software, 2007,18(10):2403-2411.) [14] 陈卓群,王忠义.移动意见挖掘中特征权重的计算方法研究[J].情报科学,2012,30(5):759-763.(CHEN Z Q, WANG Z Y. Research on the calculation method of the features' weights in the feature-based opinion mining [J]. Information Science, 2012,30(5):759-763.) [15] BARAGLIA R, SILVESTRI F. Dynamic personalization of Web sites without user intervention [J]. Communications of the ACM, 2007,50(2):63-67. |