计算机科学 ›› 2015, Vol. 42 ›› Issue (8): 70-74.
李慧,马小平,胡 云,施 珺
LI Hui, MA Xiao-ping, HU Yun and SHI Jun
摘要: 随着Web的推广和普及,产生了越来越多的网络数据。 广泛应用了 标签系统 ,以便人们使用搜索技术来组织和使用这些信息。这些数据允许用户使用关键字(标签)注释资源,为传统的基于文本的信息检索提供了方案。为了支持用户选择正确的关键字,标签推荐算法应运而生。提出了一种个性化标签推荐方法,该方法综合了用户的资源标签与标签概率模型。该模型利用了简单语言模型和隐含狄利克雷分配模型,并针对现实世界的大型数据集进行了大量实验。实验表明,该个性化方法改进了标签推荐算法,推荐结果优于传统方法。
[1] Zhang Z,Liu C.A Hypergraph model of social tagging networks[J].Journal of Statistical Mechanics:Theory and Experiment,2010(10):1-14 [2] Aleksandra K M,Alexandros N,Mirjana I.Social tagging in re-commender systems:a survey of the state-of-the-art and possible extensions[J].Artificial Intelligence Review,2010,33(1):187-209 [3] Cai Y Z,Zhang M,Chris H D.Closed form solution of similarity algorithms[C]∥Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval.2010:709-710 [4] Cohn D,Hofmann T.The missing link:a probabilistic model of document content and hypertext connectivity[M]∥Leen T K,Dietterich T G,Tresp V,eds.NIPS,MIT Press,2000:430-436 [5] Peter M.Ontologies are us:a unified model of social networks and semantics[J].Web Semantics:Science,Services and Agents on World Wide Web Archive,2007,5(1):5-15 [6] Wetzker Z.I tag,you tag:Translating tags for advanced user models[C]∥Proceedings of 3rd ACM International Conference Web Search and Data Mining.New York:ACM,2010:71-80 [7] Gemmell,Schimoler.Tag based resource recommendation in social annotation applications[M]∥User Modeling,Adaption and Personalization:Proceedings of the 6th European semantic web conference on the semantic Web:research and applications.Berlin:Springer-Verlag,2011:195-206 [8] Lops P,Gemmis M D,Semeraro G.Content-based and collaborative techniques for tag recommendation:an empirical evaluation[J].Journal of Intelligent Information Systems,2013,40(1):41-61 [9] Wu X L,Tu F H.Personalized tag recommendation methodusing graph-model[J].Computer Engineering and Applications,2013,11(1):1-6 [10] Liao Z F,Wang C Q,Li X Q.Tag recommendation and new user tag recommendation algorithms based on tensor decomposition[J].Journal of Chinese Computer Systems,2013,34(11):2473-2476 [11] Hu J,Wang B,Liu Y.Personalized Tag Recommendation Using Social influence [J].Journal of Computer Science and Technology,2012,27(3):527-540 [12] Symeonidis P,Nanopoulos A,Manolopoulos Y.Tag recommendations based on tensor dimensionality reduction[C]∥Procee-dings of the 2008 ACM Conference on Recommender Systems(RecSys’08).ACM,New York,NY,USA,2008:43-50 [13] Rendle S,Schmidt-Thieme L.Pairwise interaction tensor factorization for personalized tag recommendation[C]∥Proceedings of the Third ACM International Conference on Web Search and Data Mining(WSDM’10).ACM,New York,2010:81-90 [14] Song Y,Zhuang Z,Li H,et al.Real-time automatic tag recommendation[C]∥Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR’08).ACM,New York,2008:515-522 [15] Si X,Sun M.Tag-LDA for scalable real-time tag recommendation[J].Journal of Computational Information Systems,2009,6(1):23-31 [16] Bundschus M,Yu S,Tresp V,et al.Kriegel,Hierarchical Baye-sian models for collaborative tagging systems[C]∥Proceedings of the 2009 Ninth IEEE International Conference on Data Mi-ning(ICDM’09).IEEE Computer Society,Washington DC,USA,2009:728-733 [17] 赵亚楠,董晶,董佳梁.基于社会化标的博客标签推荐方法[J].计算机工程与设计,2012,33(12):4609-4613 Zhao Ya-nan,Dong Jing,Dong Jia-liang.Tag recommendation for blogs based on social tagging[J].Computer Engineering and Design,2012,3(12):4609-4613 [18] H Heng-zhen,Y Jin-yu.Functionally induced priors for componentwise Gibbs sampler in the analysis of supersaturated designs[J].Computational Statistics and Data Analysis,2014,72(1):1-12 [19] Hotho,Jschke,Schmitz.Information retrieval in folksonomies:Search and ranking[M]∥The Semantic Web:Research and Applications:Proceedings of the 3rd European semantic web conference.Berlin:Springer-Verlag,2006:411-426 [20] Wetzker R,Zimmermann C,Bauckhage C.Analyzing socialbookmarking systems:A del.icio.us cookbook[C]∥Proceedings of ECAI 2008 Mining Social Data Workshop.2008:26-30 [21] Carpineto C,Romano G.Semantic search log k-anonymizationwith generalied k-cores of query concept graph[C]∥35th European Conference on IR Research(ECIR 2013).2013:110-121 |
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