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个性化推荐信息分发系统 被引量:3

Personal Recommendation Technology for Information Distribution System
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摘要 为协助用户从海量数据中发掘有效信息,提出了一种支持个性化推荐技术的信息分发系统。该系统通过识别用户个性化需求,主动建立用户和信息之间联系,实现基于个性化需求的信息推荐。采用个性化推荐技术可提升信息分发系统的信息分发共享能力,同时也提高了信息资源利用率。 To help the user to explore valid information from massive data,apersonal recommendation technology is proposed to support the information distribution system.The system can realize the information recommendation based on users′personal needs by identifying personal needs and establishing the connection between the user and the information.With personal recommendation technology,the information distribution and sharing capability of the system is enhanced and the utilization rate of the information is improved.
作者 刘博 汪跃
出处 《指挥信息系统与技术》 2014年第5期62-65,共4页 Command Information System and Technology
基金 总装"十二五"国防预研课题资助项目
关键词 个性化推荐 个性化需求识别 信息关联汇聚 personal recommendation personal need identification information related convergence
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  • 1吴丽辉,王斌,张刚.一个个性化的Web信息采集模型[J].计算机工程,2005,31(22):86-88. 被引量:17
  • 2[3]Claypool M,Brown D,Phong Le. Inferring User Interest[J].IEEE Internet Computing,2001 ;5(6) :32~39
  • 3[4]Hendler. Agents and the Semantic Web[J].IEEE Intelligent Systems,2001:16(2) :33~36
  • 4[1]Shapira B,Shoval P,Hanani U.Stereotypes in Information filtering systems[J].Information Processing and Management, 1997; 33 (3): 273~287
  • 5[2]Shapira B,Shoval P,Hanani U.Experimentation with an Information Filteringsystem that combines cognitive and sociological filtering intergrated with user stereotypes[J].Decision Support Systems, 1999;27:5~24
  • 6Han, E.H., Boley, D., Gini, M., et al. WebACE: a web agent for document c ategorization and exploration. In: Sycara, K.P., Wooldridge, M., eds. Proceeding s of the 2nd International Conference on Autonomous Agents. New York: ACM Press, 1998. 408~415.
  • 7Schwab, I., Pohl, W., Koychev, I. Learning to recommend from positive evi dence. In: Riecken, D., Benyon, D., Lieberman, H., eds. Proceedings of the Inter national Conference on Intelligent User Interfaces. New York: ACM Press, 2000. 2 41~247.
  • 8Pretschner, A. Ontology based personalized search [MS. Thesis]. Lawrence, KS: University of Kansas, 1999.
  • 9Adomavicius, G., Tuzhilin, A. User profiling in personalization applicati ons through rule discovery and validation. In: Lee, D., Schkolnick, M., Provost, F., et al., eds. Proceedings of the 5th International Conference on Data Mining and Knowledge Discovery. New York: ACM Press, 1999. 377~381.
  • 10Balabanovic, M., Shoham, Y. Fab: content-based, collaborative recommendat ion. Communications of the ACM, 1997,40(3):66~72.

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