计算机技术 |
|
|
|
|
基于社交关系拓扑结构的冷启动推荐方法 |
张亚楠, 曲明成,刘宇鹏 |
1.哈尔滨理工大学 软件学院,黑龙江 哈尔滨 150040;2.哈尔滨工业大学 计算机科学与技术学院,黑龙江 哈尔滨 150001 |
|
Recommendation method based on social topology for cold start users |
ZHANG Ya nan,QU Ming cheng,LIU Yu peng |
1. Software school,Harbin University of Science and Technology,Harbin 150040,China;
2. School of computer science and Technology, Harbin Institute of Technology,Harbin 150001, China |
[1] BOBADILLA J S, ORTEGA F, HERNANDO A, et al. A collaborative filtering approach to mitigate the new user cold start problem [J]. KnowledgeBased Systems, 2012, 26(1): 225-238.
[2] LIKA B, KOLOMVATSOS K, HADJIEFTHYMIADES S. Facing the cold start problem in recommender systems [J]. Expert Systems with Applications, 2014, 41(4): 20652073.
[3] REN Y L, LI G, ZHOU W L. PRICAI 2012: Trends in Artificial Intelligence[M]. Berlin Heidelberg: Springer, 2012: 887-890.
[4] LING Y X, GUO D K, CAI F, et al. Userbased Clustering with TopN Recommendation on ColdStart Problem[C]∥Proceedings of the 2013 3rd international conference on intelligent system design and engineering applications. Hong Kong:IEEE Computer Society, 2013: 1585-1589.
[5] LOPS P, DE GEMMIS M, SEMERARO G. Recommender systems handbook [M]. Berlin Heidelberg: Springer, 2011: 73-105.
[6] YIN H, CUI B, CHEN L, et al. A temporal contextaware model for user behavior modeling in social media systems[C]∥Proceedings of the 2014 ACM SIGMOD international conference on Management of data. Snowbird, USA: ACM, 2014: 1543-1554.
[7] WANG J, DE VRIES A P, REINDERS M J T. Unifying userbased and itembased collaborative filtering approaches by similarity fusion[C]∥Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval. Washington, USA: ACM, 2006: 501-508.
[8] JAMALI M, ESTER M. A matrix factorization technique with trust propagation for recommendation in social networks[C]∥Proceedings of the 4th ACM conference on Recommender systems. Barcelona, Spain: ACM, 2010: 135-142.
[9] MA H, YANG H, LYU M R, et al. Sorec: social recommendation using probabilistic matrix factorization[C]∥Proceedings of the 17th ACM conference on Information and knowledge management. Napa Valley, USA: ACM, 2008: 931-940.
[10] WU L, CHEN E H, LIU Q, et al. Leveraging tagging for neighborhoodaware probabilistic matrix factorization[C]∥Proceedings of the 21st ACM international conference on Information and knowledge management. Maui Hawaii, USA: ACM, 2012: 1854-1858.
[11] KOREN Y. Collaborative filtering with temporal dynamics[J]. Communications of the ACM, 2010, 53(4): 89-97.
[12] REN L, GU J Z, XIA W W. An itembased collaborative filtering approach based on balanced rating prediction[C]∥Proceedings of 2011 International Conference on Multimedia Technology. Hangzhou, China: IEEE, 2011: 3405-3408.
[13] MA H, KING I, LYU M R. Learning to recommend with social trust ensemble[C]∥Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval. Gold Coast, Australia: ACM, 2009: 203-210.
[14] KIM Y A, SONG H S. Strategies for predicting local trust based on trust propagation in social networks[J]. KnowledgeBased Systems, 2011, 24(8): 1360-1371.
[15] YUAN W W, GUAN D H, LEE Y K, et al. Improved trustaware recommender system using smallworldness of trust networks[J]. KnowledgeBased Systems, 2010, 23(3): 232-238.
[16] JIANG W J, WANG G J, WU J. Generating trusted graphs for trust evaluation in online social networks[J]. Future Generation Computer Systems, 2014, 31(1): 48-58.
[17] LIU R R, LIU J G, JIA C X, et al. Personal recommendation via unequal resource allocation on bipartite networks[J]. Physica A: Statistical Mechanics and its Applications, 2010, 389(16): 3282-3289.
[18] GUHA R, KUMAR R, RAGHAVAN P, et al. Propagation of trust and distrust[C]∥Proceedings Of The 13th International Conference On World Wide Web. New York, USA: ACM, 2004: 403-412.
[19] 印桂生, 张亚楠, 董红斌, 等.一种由长尾分布约束的推荐方法[J]. 计算机研究与发展,2013,50(9):1814-1824.
YIN Guisheng, ZHANG Yanan, DONG Hongbin,et al. A long tail distribution constrained recommendation method [J].Journal of computer research and development, 2013,50(9):1814-1824.
[20] 印桂生, 张亚楠, 董宇欣, 等.基于受限信任关系和概率分解矩阵的推荐[J]. 电子学报, 2013, 42(5): 904-911.
YIN Guisheng, ZHANG Yanan, DONG Yuxin, et al. A Constrained trust recommendation using probabilistic matrix factorization [J]. Acta Electronica Sinica, 2013, 42(5): 904-911.
[21] 孙光福, 吴乐, 刘淇, 等. 基于时序行为的协同过滤推荐算法[J].软件学报, 2013, 24(11):2721-2733.
SUN Guangfu, WU Le, LIU Qi, et al. Recommendations based on collaborative filtering by exploiting sequential behaviors [J]. Journal Of Software, 2013, 24(11):2721-2733.9 |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|