期刊文献+

档案知识组织方法与技术探讨 被引量:2

原文传递
导出
摘要 随着数字化网络化时代的到来,知识管理与知识服务成为档案馆建设的核心内容,而档案资源的知识组织工作是做好档案知识管理和知识服务的基础。为此,可依据各类档案的特点及知识服务需求,采用适合档案资源的知识组织方法与技术,建立切合实际的档案知识组织框架。
出处 《档案》 2014年第3期56-58,共3页 ARCHIVES
  • 相关文献

参考文献2

二级参考文献32

  • 1Burke R. Hybrid Recommender Systems: Survey and Experiments |[ J ]. User Modeling and User - adapted Interaction, 2002,12 ( 4 ) : 331 -370.
  • 2Adomavicius G, Tuzhilin A. Toward the Next Generation of Rec- ommender Systems : A Survey of the State - of - the - art and Pos- sible Extensions [ J ]. IEEE Transactions on Knowledge and Data Engineering, 2005,17 (6) :734 - 749.
  • 3Sarwar B, Karypis G, Konstan J, et al. Analysis of Recommenda- tion Algorithms for E - commerce[ C ]. In : Proceedings of the 2nd ACM Conference on Electronic Commerce. New York, NY, USA: ACM, 2000 : 158 - 167. Proceedings of.
  • 4Sarwar B, Karypis G, Konstan J, et al. Item - based Collaborative Filtering Recommendation Algorithms [ C ]. In : Proceedings of the lOth International Conference on World Wide Web. New York, NY, USA: ACM, 2001:285 -295.
  • 5Claypool M, Gokhale A, Miranda T, et al. Combining Content - based and Collaborative Filters in an Online Newspaper[ C ]. In: Proceedings of ACM SIGIR Workshop on Recommender Systems. 1999.
  • 6Good N, Schafer J B, Konstan J A, et al. Combining Collaborative Filtering with Personal Agents for Better Recommendations [ C ]. In: Proceedings of the 16th National Conference on Artifwial Intelli- gence and the 11 th Innovative Applications of Artifwial Intelligence. Menlo Park, CA, USA : American Association for Artificial Intelli- gence, 1999:439 -446.
  • 7Sarwar B M, Konstan J A, Borchers A, et al. Using Filtering Agents to Improve Prediction Quality in the Gmuplens Research Collaborative Filtering System [ C ]. In: Proceedings of the 1998 ACM Conference on Computer Supported Cooperative Work. New York, NY, USA: ACM, 1998:345 - 354.
  • 8Koren Y, Bell R, Volinsky C. Matrix Faetorization Techniques for Recommender Systems[ J]. Computer,2009,42 ( 8 ) :30 - 37.
  • 9Ma H, King I, Lyu M R. Learning to Recommend with Social Trust Ensemble [ C ]. In: Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, NY, USA: ACM, 2009.
  • 10Adomavicius G,Tuzhilin A. Context - aware Recommender Systems [ A ].//Recommender Systems Handbook [ M ]. Springer, 2011 : 217 -253.

共引文献21

同被引文献52

引证文献2

二级引证文献27

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部