期刊文献+

一种基于语义的标签推荐系统框架

One Kind Based on Semantic Label Recommendation System Frame
原文传递
导出
摘要 随着Internet和WEB2.0应用的快速发展,推荐系统成为了互联网重要的技术之一。传统的标签推荐系统较好的解决了经典的冷启动问题,但存在不能准确理解用户喜好的缺点。本文针对此系统作出了一些改进,提出了基于语义的标签推荐系统框架。 Along with Internet and the WEB2.0 application's fast development,the recommendation system has become one of Internet important technologies.Traditional label recommendation system good solution classics cold start question,but the existence cannot understand accurately the user likes shortcoming.This article has made some improvements in view of this system,proposed based on the semantic label recommendation system frame.
作者 谌颃
出处 《网络安全技术与应用》 2010年第7期40-42,共3页 Network Security Technology & Application
关键词 推荐系统 标签系统 标签推荐系统 语义 Recommendation system Label system Label recommendation system Semantic
  • 相关文献

参考文献4

二级参考文献205

  • 1Resnick P, lakovou N, Sushak M, et al. GroupLens: An open architecture for collaborative filtering of netnews. Proc 1994 Computer Supported Cooperative Work Conf, Chapel Hill, 1994: 175-186
  • 2Hill W, Stead L, Rosenstein M, et al. Recommending and evaluating choices in a virtual community of use. Proc Conf Human Factors in Computing Systems. Denver, 1995:194 -201
  • 3梅田望夫.网络巨变元年-你必须参加的大未来.先觉:先觉出版社,2006
  • 4Adomavicius G, Tuzhilin A. Expert-driven validation of Rule Based User Models in personalization applications. Data Mining and Knowledge Discovery, 2001, 5(1-2):33-58
  • 5Adomavicius G, Tuzhilin A. Toward the next generation of recommender systems: A survey of the state-of-the art and possible extensions. IEEE Trans on Knowledge and Data Engineering, 2005, 17(6): 734-749
  • 6Rich E. User modeling via stereotypes. Cognitive Science, 1979, 3(4) : 329-354
  • 7Goldberg D, Nichols D, Oki BM, et al. Using collaborative filtering to weave an information tapestry. Comm ACM, 1992, 35(12):61-70
  • 8Konstan JA, Miller BN, Maltz D, el al. GroupLens: Applying collaborative filtering to usenet news. Comm ACM, 1997, 40(3) : 77-87
  • 9Shardanand U, Maes P. Social information filtering: Algorithms for automating ‘Word of Mouth'. Proe Conf Human Factors in Computing Systems Denver, 1995: 210-217
  • 10Linden G, Smith B, York J. Amazon. corn recommendations: hem-to-item collaborative filtering. IEEE Internet Computing, 2003, 7(1): 76-80

共引文献913

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