[1]雷震,文益民,王志强,等.基于影响力控制的热传导算法[J].智能系统学报编辑部,2016,11(3):328-335.[doi:10.11992/tis.201603042]
 LEI Zhen,WEN Yimin,WANG Zhiqiang,et al.Heat conduction controlled by the influence of users and items[J].CAAI Transactions on Intelligent Systems,2016,11(3):328-335.[doi:10.11992/tis.201603042]
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基于影响力控制的热传导算法

参考文献/References:
[1] 文益民, 史一帆, 蔡国永, 等. 个性化旅游推荐研究综述[EB/OL]. 北京: 中国科技论文在线, 2014. [2014-07-03]. http://www.paper.edu.cn/releasepaper/content/201407-56.
[2] RESNICK P, VARIAN H R. Recommender systems[J]. Communications of the ACM, 1997, 40(3): 56-58.
[3] ADOMAVICIUS G, TUZHILIN A. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions[J]. IEEE transactions on knowledge and data engineering, 2005, 17(6): 734-749.
[4] FELFERNIG A, GORDEA S, JANNACH D, et al. A short survey of recommendation technologies in travel and tourism[J]. OEGAI journal, 2007, 25(7): 17-22.
[5] LIU Jianguo, ZHOU Tao, GUO Qiang. Information filtering via biased heat conduction[J]. Physical review E, 2011, 84(3): 037101.
[6] LINDEN G, SMITH B, YORK J. Amazon. com recommendations: item-to-item collaborative filtering[J]. IEEE internet computing, 2003, 7(1): 76-80.
[7] DAS A S, DATAR M, GARG A, et al. Google news personalization: scalable online collaborative filtering[C]//Proceedings of the 16th International Conference on World wide Web. New York, USA, 2007: 271-280.
[8] LIU Qiwen, CHEN Tianjian, CAI Jing, et al. Enlister: baidu’s recommender system for the biggest chinese Q & A website[C]//Proceedings of the Sixth ACM Conference on Recommender Systems. New York, USA, 2012: 285-288.
[9] HERLOCKER J L, KONSTAN J A, RIEDL J. Explaining collaborative filtering recommendations[C]//Proceedings of the 2000 ACM Conference on Computer Supported Cooperative Work. New York, USA, 2000: 241-250.
[10] PAZZANI M J. A framework for collaborative, content-based and demographic filtering[J]. Artificial intelligence review, 1999, 13(5-6): 393-408.
[11] ZHOU Tao, Lü Linyuan, ZHANG Yicheng. Predicting missing links via local information[J]. The european physical journal B, 2009, 71(4): 623-630.
[12] Lü Linyuan, ZHOU Tao. Link prediction in weighted networks: the role of weak ties[J]. EOL (europhysics letters), 2010, 89(1): 18001.
[13] ZHOU Tao, KUSCSIK Z, LIU Jianguo, et al. Solving the apparent diversity-accuracy dilemma of recommender systems[J]. Proceedings of the national academy of sciences of the United States of America, 2010, 107(10): 4511-4515.
[14] ZENG Wei, SHANG Mingsheng, ZHANG Qianming, et al. Can dissimilar users contribute to accuracy and diversity of personalized recommendation[J]. International journal of modern physics C, 2010, 21(10): 1217-1227.
[15] ZHANG Zike, YU Lu, FANG Kuan, et al. Website-oriented recommendation based on heat spreading and tag-aware collaborative filtering[J]. Physica A: statistical mechanics and its applications, 2014, 399: 82-88.
[16] ZHOU Tao, REN Jie, MEDO M, et al. Bipartite network projection and personal recommendation[J]. Physical review E, 2007, 76(4): 046115.
[17] NIE Dacheng, AN Yahui, DONG Qiang, et al. Information filtering via balanced diffusion on bipartite networks[J]. Physica A: statistical mechanics and its applications, 2015, 421: 44-53.
[18] 侯磊, 胡兆龙, 张博, 等. 基于流行度的非平衡热传导推荐算法研究[J]. 计算机应用研究, 2015, 32(11): 3235-3237. HOU Lei, HU Zhaolong, ZHANG Bo, et al. Information filtering via non-equilibrium heat conduction with consideration of popularity[J]. Application research of computers, 2015, 32(11): 3235-3237.
[19] LIU Jianguo, GUO Qiang, ZHANG Yicheng. Information filtering via weighted heat conduction algorithm[J]. Physica A: statistical mechanics and its applications, 2011, 390(12): 2414-2420.
[20] SHI Shaoliang, LI Yunpeng, WEN Yimin, et al. Adding the sentiment attribute of nodes to improve link prediction in social network[C]//Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery. Zhangjiajie, China, 2015: 1263-1269.
[20] LIU Jinhu, ZHANG Zike, CHEN Lingjiao, et al. Gravity effects on information filtering and network evolving[J]. PLoS one, 2014, 9(3): e91070.
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备注/Memo

收稿日期:2016-3-19;改回日期:。
基金项目:国家自然科学基金项目(61363029);广西省科学研究与技术开发项目(桂科攻14124005-2-1);湖南省博士后科研专项计划项目(2011RS4073);广西信息科学中心项目(YB408).
作者简介:雷震,男,1991年生,硕士研究生,主要研究方向为推荐系统与数据挖掘。文益民,男,1969年生,博士,教授,中国计算机学会高级会员。主要研究方向为机器学习与数据挖掘、极化SAR图像处理、社会计算。主持省部级科研项目8项,获得省部级教学、科研奖励5项,发表学术论文30余篇,其中被SCI、EI收录18篇,翻译译著1部。王志强,男,1991年生,硕士研究生,主要研究方向为数据挖掘、旅游推荐。
通讯作者:文益民.E-mail:ymwen2004@aliyun.com.

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