综述述评

国外基于标签的个性化信息推荐模型研究进展

  • 武慧娟 ,
  • 徐宝祥 ,
  • 周兰萍
展开
  • 1. 吉林大学管理学院;
    2. 东北电力大学经济管理学院
武慧娟,吉林大学管理学院博士研究生,东北电力大学经济管理学院讲师,E-mail:413170720@qq.com;徐宝祥,吉林大学管理学院教授,博士生导师;周兰萍,东北电力大学经济管理学院硕士研究生。

收稿日期: 2012-09-04

  修回日期: 2013-03-04

  网络出版日期: 2013-04-05

Research Review on the Label-based Personalized Information Recommendation Model at Abroad

  • Wu Huijuan ,
  • Xu Baoxiang ,
  • Zhou Lanping
Expand
  • 1. School of Management, Jilin University, Changchun 130022;
    2. School of Economy Management, Northeast Dianli University, Jilin 132012

Received date: 2012-09-04

  Revised date: 2013-03-04

  Online published: 2013-04-05

摘要

对国外基于标签的个性化信息推荐模型的研究背景进行述评,根据标签系统中用户、资源、标签组织方式的不同,将基于标签的个性化信息推荐的研究归为三类——基于图论、基于张量和基于主题模型进行分析,详细阐述各自的特征和可能存在的问题等,最后针对目前的研究状况,提出未来需要解决的问题,希望我国图书情报领域能够借鉴国外这一领域相关研究成果。

关键词: 信息推荐; 个性化; 标签

本文引用格式

武慧娟 , 徐宝祥 , 周兰萍 . 国外基于标签的个性化信息推荐模型研究进展[J]. 图书情报工作, 2013 , (07) : 122 -126 . DOI: 10.7536/j.issn.0252-3116.2013.07.022

Abstract

This paper reviews the research background of the label-based personalized information recommendation model at abroad by literature search, and summarizes its research into three types of graph-theory-based, tensor-based and topic-based according to the different organization way of the user, resource and tag in the tag system. It explains their respective characteristics and possible problems in detail. Finally, in view of the current research situation, this paper puts forward the problem to solve in the future, hopes to learn from the foreign related research achievements.

参考文献

http://pre.aps.org/abstract/PRE /v76/i4/e046115.
[2] Smyth B,Cotter P.Surfing the digital wave[EB/OL].[2013-02-28].http://link.springer.com/chapter/10.1007%2F3-540-48508-2_41?LI=true#page-2.
[3] Robert J, Leandro M, Andreas H.Tag recommendations in folksonomies[EB/OL].[2013-03-05]. http://www.kde.cs.uni-kass el.de/stumme/papers/2007/jaeschke07tagrecommendationsKDML.pdf.
[4] Firan C S, Nejdl W, Paiu R. The benefit of using tag-based profiles[EB/OL].[2013-02-28]. http://www.kbs.uni-hannover.de/Arbeiten/Publikationen/2007/paiu-TagProfiles.pdf.
[5] Sturtz D N.Communal categorization: The folksonomy[EB/OL].[2013-02-28]. http://davidsturtz.com/drexel/622/sturtz-folksonomy.pdf.
[6] Lambiotte R,Ausloos M.Collaborative tagging as a tripartite network[EB/OL].[2012-08-22].http://arxiv.org/pdf/ cs/0512090.pdf.
[7] Zhang Zike,Zhou Tao, Zhang Yicheng. Personalized recommendation via integrated diffusion on user-item-tag tripartite graphs[J]. Physica A,2010,389(1):179-186.
[8] Shang Mingsheng,Zhang Zike,Zhou Tao. Collaborative filtering with diffusion based similarity on tripartite graphs[J].Physica A,2010,389 (6):1259-1264.
[9] Cattuto C,Schmitz C,Baldassarri A,et al.Network properties of folksonomies[J].AI Communications, 2007, 20(4):245-262.
[10] Ghoshal G,Zlatic V,Caldarelli G,et al.Random hypergraphs and their applications[EB/OL]. [2012-08-22].http://arxiv.org/abs/0903.0419.
[11] Zlatic V,Ghoshal G,Caldarelli G.Hypergraphst opological quantities for tagged social networks[EB/OL].[2012-08-22].http://pre.aps.org/abstract/PRE/v80/i3/e036118.
[12] De Pessemier T,Deryckere T, Luc M.Context aware recommendations for user-generated content on a social network site[EB/OL]. [2012-08-22].http://www.igi-global.com/article/ontol ogy-folksonomy-mash-apples-oranges/2828.
[13] Kim H N,El-Saddik A. Exploring social tagging for personalized community recommendations[J].User Modeling and User Adapted Interaction,2013,23(2-3): 249-285.
[14] Vasanth N,Sumeet D.Folksonomy-based ad hoc community detection in online social networks [EB/OL].[2012-08-22].http://link.springer.com/article/10.1007%2Fs13278-012-0081-9?LI=true#page-1.
[15] Marek L,Borkur S, Alejandro J.Understanding and leveraging tag-based relations in on-line social networks[EB/OL].[2012-08-22]. http://dl. acm.org/ft_gateway.cfm?id=2310035&ftid=1259240&dwn=1.
[16] Symeonidis P, Nanopoulos A, Manolopoulos Y. Tag recommendations based on tensor dimen sionality reduction[EB/OL].[2012-08-22].http: //www.bradblock.com.s3-website-us-west-1.amazonaws.com/Tag_Recommendations_Based_on_Tensor_Dimensionality_Reduction.pdf.
[17] Rendle R,Schmidit-Thieme L.Pairwise interaction tensor factorization for personalized tag recommendation[EB/OL].[2012-08-22].http://w-ume.cse.lehigh.edu/~ovd209/wsdm/proceedings/docs/p81.pdf.
[18] Ralf K, Peter F.Personalized topic-based tag recommendation[EB/OL].[2013-02-28].http://www.sciencedirect.com/science/article/pii/S0925231211003985.
[19] Cichocki A, Zdunek R, Phan A H,et al. Nonnegative matrix and tensor factorizations: Applications to exploratory multi-way data analysis and blind source separation[M]. Hobolcen: Wiley, 2009.
[20] Kolda T G, Bader B W. Tensor decompositions and applications[J].SIAM Review,200 9,51(3): 455-500.
[21] Kroonenberg P M. Applied multiway data analysis[M]. Hoboken: Wiley,2008.
[22] Rendle S,Marinho L B,Nanopoulos A,et al.Leaming optimal ranking with tensor faetorization for tag recommendation [C]//Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Diseovery and Data Mining.New York: ACM, 2009:727-736.
[23] Deerwester S, Dumais S T, Furnas G W, et al. Indexing by latent semantic analysis[EB/OL].[2012-08-18].http://www.cob.unt.edu/itds/facul ty/evangelopoulos/dsci5910/LSA_Deerwester1990.pdf.
[24] Adomavicius G,Tuzhilin A.Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions[J]. IEEE Transactions on Knowledge and Data Engineering,2005, 17(6):734-749.
[25] Hofmann T. Probabilistic latent semantic indexing[EB/OL].[2012-08-18].http://lvk.cs.msu.su/~bruzz/articles/feature_Selection_clustering/Hofmann.SIGIR99.pdf.
[26] Blei D M, Ng A Y, Jordan M I. Latent dirichlet allocation[EB/OL].[2012-08-22].http://admis.fu dan.edu.cn/seminars /ppt/lecture-lda.pdf.
[27] Umbrath A S, Wetzker R, Umbrath W, et al. A hybrid PLSA approach for warmer cold start in folksonomy recommendation [EB/OL].[2012-08-23].http://www.dai-labor.de/fileadmin/Files /Publikationen/Buchdatei/Said.pdf.
[28] Francisco E, Jos? J A, Alberto C.Ontology of folksonomy: A new modeling method[EB/OL]. [2013-02-28].http://www.gsd.unavarra.es/gsd/files/condep/EcAsCoVisaakm07f.pdf.
[29] Gruber T.Ontology of folksonomy: A mash-up of applesand oranges[EB/OL].[2013-02-28].http://www.igi-global.com/article/ontology-folkso-nomy-mash-apples-oranges/2828.
[30] Godoy D,Amandi A. Hybrid content and tag-based profiles for recommendation in collaborative tagging systems[EB/OL]. [2012-08-22]. http://dblab.cs.nccu.edu.tw/presentation/.98 0525 /980525.pdf.
[31] Zhang Yun,Feng Boqin.Tag-based user modeling using formal concept analysis[C]//Proceedings of the 8th IEEE International Conference on Computer and Information Technology.Sydney:IEEE,2008: 485-490.
[32] Jschke R,Hotho A,Schmitz C,et al.Discovering shared conceptualizations in folksonomies[J].Web Semantics: Science,Services and Agents on the World Wide Web,2008,6(1):38-53.

文章导航

/