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网络资源中基于K-Means聚类的个性化推荐

, PP. 120-124

Keywords: 个性化推荐,K-means聚类算法,动态多维网络

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Abstract:

为了实现在网络资源中为网络用户提供针对兴趣爱好的推荐项目,提出了一种基于K-means聚类的应用于动态多维社会网络的个性化推荐算法.首先根据用户评分数据对用户进行建模,并根据评分数据集构建多维用户网络,再加入局域世界演化理论形成动态多维网络;然后根据改进的K-means算法对用户聚类;最后根据最近邻居得到目标用户的预测评分作出推荐,从而形成一种应用于动态多维社会网络中的个性化推荐算法.实验表明,相比协同过滤个性化推荐系统,新推荐策略的预测值和真实值之间的误差较小,个性化推荐水平得到了一定程度的提高.

References

[1]  张华青, 王红, 滕兆明,等. 多维加权社会网络中的个性化推荐算法[J]. 计算机应用,2011:2408-2411. Zhang Huaqing, Wang Hong, Teng Zhaoming, et al. Personalized recommendation algorithm of multidimensional weighted social network [J]. Computer Application, 2011: 2408-2411.
[2]  Newman M J. The structure and function of complex network[J]. SI-AM Review, 2003, 45(2):167-256.
[3]  Liu R R, Jia C X, Zhou T, et al. Personal recommendation via modified collaborative filtering [J]. Physica A, 2009(388):462-468.
[4]  Yoshii K, Goto M, Komatani K, et al. An efficient hybrid music recommender system using an incrementally trainable probabilistic generative model[J]. IEEE Transactions on Audio Speech and Language Processing, 2008,16(2): 435-447.
[5]  Zhou T, Jiang L L, Su R Q, et al. Effect of initial configuration on network-based recommendation [J]. Europhys Lett, 2008(81):58004.
[6]  Wu Y H, Chen Y C, Chen A L P. Enabling personalized recommendation on the web based on user interests and behaviors[C]//Klas W. Proceedings of the 11th International Workshop on Research Issues in Data Engineering. Los Alamitos, CA:IEEE CS Press, 2001:17-24.
[7]  张华青. 动态多维社会网络中个性化推荐方法研究[D]. 济南: 山东师范大学, 2012. Zhang Huaqing.Personalized recommendation method in dynamic and multidimensional social networks[D].Jinan:Shandong Normal University,2012.
[8]  Zeng C, Xing C X, Zhou L Z. A survey of personalization technology [J].Journal of Software, 2002,13(10):1952-1961.

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