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第3期 雷震,等:基于影响力控制的热传导算法 .335. wide Web.New York,USA,2007:271-280. 推荐算法研究[J].计算机应用研究,2015,32(11): [8]LIU Qiwen,CHEN Tianjian,CAI Jing,et al.Enlister: 3235-3237. baidu's recommender system for the biggest chinese Q&A HOU Lei,HU Zhaolong,ZHANG Bo,et al.Information website[C]//Proceedings of the Sixth ACM Conference on filtering via non-equilibrium heat conduction with consider- Recommender Systems.New York,USA,2012:285-288. ation of popularity[].Application research of computers, [9]HERLOCKER J L,KONSTAN J A,RIEDL J.Explaining 2015,32(11):3235-3237. collaborative filtering recommendations[C]//Proceedings of [19]LIU Jianguo,GUO Qiang,ZHANG Yicheng.Information the 2000 ACM Conference on Computer Supported Coopera- filtering via weighted heat conduction algorithm[J].Physi- tive Work.New York.USA,2000:241-250. ca A:statistical mechanics and its applications,2011, [10]PAZZANI M J.A framework for collaborative,content- 390(12):2414-2420. based and demographic filtering[J].Artificial intelligence [20]SHI Shaoliang,LI Yunpeng,WEN Yimin,et al.Adding review,1999,13(5-6):393-408. the sentiment attribute of nodes to improve link prediction [11 ZHOU Tao,Lu Linyuan,ZHANG Yicheng.Predicting in social network [C]//Proceedings of the 12th Interna- missing links via local information [J].The european tional Conference on Fuzzy Systems and Knowledge Discov- physical journal B,2009,71(4):623-630. ery.Zhangjiajie,China,2015:1263-1269. [12]Lu Linyuan,ZHOU Tao.Link prediction in weighted net- [20]LIU Jinhu,ZHANG Zike,CHEN Lingjiao,et al.Gravity works:the role of weak ties[J].EOL europhysics let- effects on information filtering and network evolving[J]. tes),2010,89(1):18001. PLoS one,2014,9(3):e91070. [13]ZHOU Tao,KUSCSIK Z,LIU Jianguo,et al.Solving the 作者简介: apparent diversity-accuracy dilemma of recommender sys- 雷震,男,1991年生,硕士研究生 tems[]].Proceedings of the national academy of sciences 主要研究方向为推荐系统与数据挖掘。 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 diversi- ty of personalized recommendation[J].International jour- nal of modern physics C,2010,21(10):1217-1227. 文益民,男,1969年生,博士,教授, [15]ZHANG Zike,YU Lu,FANG Kuan,et al.Website-orien- 中国计算机学会高级会员。主要研究 ted recommendation based on heat spreading and tag-aware 方向为机器学习与数据挖掘、极化SAR collaborative filtering[J].Physica A:statistical mechanics 图像处理、社会计算。主持省部级科研 and its applications,2014,399:82-88. 项目8项,获得省部级教学、科研奖励5 [16]ZHOU Tao,REN Jie,MEDO M,et al.Bipartite network 项,发表学术论文30余篇,其中被$C、 projection and personal recommendation[J].Physical re- EI收录18篇,翻译译著1部。 view E,2007,76(4):046115. [17]NIE Dacheng,AN Yahui,DONG Qiang,et al.Information 王志强,男,1991年生,硕士研究 filtering via balanced diffusion on bipartite networks[J]. 生,主要研究方向为数据挖掘、旅游 Physica A:statistical mechanics and its applications, 推荐。 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 Coopera⁃ tive 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 net⁃ works: the role of weak ties [ J]. EOL ( europhysics let⁃ ters), 2010, 89(1): 18001. [13]ZHOU Tao, KUSCSIK Z, LIU Jianguo, et al. Solving the apparent diversity⁃accuracy dilemma of recommender sys⁃ tems[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 diversi⁃ ty of personalized recommendation[ J]. International jour⁃ nal of modern physics C, 2010, 21(10): 1217⁃1227. [15]ZHANG Zike, YU Lu, FANG Kuan, et al. Website⁃orien⁃ ted 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 re⁃ view 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 consider⁃ ation 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]. Physi⁃ ca 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 Interna⁃ tional Conference on Fuzzy Systems and Knowledge Discov⁃ ery. 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. 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。 第 3 期 雷震,等:基于影响力控制的热传导算法 ·335·
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