摘要： 推荐系统已被广泛应用于电子商务等多个领域。冷启动问题是推荐系统的一个难点。基于粒关联规则的冷启动推荐方法,运用粒来描述用户和产品,通过满足粒关联规则的4个指标,挖掘出用户和产品之间的关联规则,匹配合适的规则,最后根据这些规则向用户做出相应的推荐。在公开有效的数据集MovieLens上进行了实验,结果表明,用粒关联规则所挖掘出的规则可以有效地用于训练集和测试集上的推荐,并且具有较好的准确性。
| [1] Mooney R J,Roy L．Content-based book recommending using learning for text categorization [C]∥Proceedings of the fifth ACM conference on Digital libraries．ACM,2000:195-204 [2] Pazzani M J,Billsus D．Content-based recommendation systems [M]．The adaptive web．Springer Berlin Heidelberg,2007:325-341 [3] Goldberg D,Nichols D,Oki B M,et al．Using collaborative filtering to weave an information tapestry [J]．Communications of the ACM,1992,35(12):61-70 [4] Cremonesi P,Turrin R,Airoldi F．Hybrid algorithms for recommending new items [C]∥Proceedings of the second International Workshop on Information Heterogeneity and Fusion in Re-commender Systems．ACM,2011:33-40 [5] Balabanovi′M,Shoham Y．Fab:content-based,collaborative recommendation [J]．Communications of the ACM,1997,40(3):66-72 [6] Schein A I,Popescul A,Ungar L H,et al．Methods and metrics for cold-start recommendations [C]∥Proceedings of the 25th annual international ACM SIGIR conference on research and development in information retrieval．ACM,2002:253-260 [7] Min F,Hu Q,Zhu W．Granular association rules with four subtypes [C]∥Granular Computing (GrC),2012IEEE International Conference on．IEEE,2012:353-358 [8] Min F,Hu Q,Zhu W．Granular association rules on two universes with four measures [J]．arXiv preprint arXiv:1209.5598,2012 [9] Min F,Zhu W．Granular association rule mining through parametric rough sets [M]．Brain Informatics．Springer Berlin Heidelberg,2012:320-331 [10] He X,Min F,Zhu W．A comparative study of discretization approaches for granular association rule mining [C]∥Proceedings of the 2013Canadian Conference on Electrical and Computer Engineering．2013 [11] Min F,Zhu W．Granular association rules for multi-valued data [C]∥Proceedings of the 2013Canadian Conference on Electrical and Computer Engineering．2013 [12] Lin T Y．Granular computing on binary relations I:data mining and neighborhood systems [J]．Rough sets in knowledge discovery,1998,1:107-121 [13] Zhu W,Wang F Y．Reduction and axiomization of covering generalized rough sets [J]．Information sciences,2003,152:217-230 [14] Yao Y,Deng X．A granular computing paradigm for conceptlearning [M]．Emerging Paradigms in Machine Learning．Springer Berlin Heidelberg,2013:307-326 [15] 苗夺谦．粒计算:过去,现在与展望[M]．北京:科学出版社,2007 [16] Min F,Zhu W,He X．Grale:Granular association rules．http://grc.fjzs.edu.cn/~fmin/grale/,2013 [17] Pawlak Z．Rough sets [J]．International Journal of Computer & Information Sciences,1982,11(5):341-356 [18] Skowron A,Stepaniuk J．Approximation of relations [M]．Rough Sets,Fuzzy Sets and Knowledge Discovery．London:Springer,1994:161-166 |
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