期刊文献+

基于用户行为分析的网站广告投放策略 被引量:7

Strategy of Putting Adv on the Specific Web Based on the Action of User
下载PDF
导出
摘要 基于用户行为分析的思想,文章从用户在一段时间内的浏览日志中挖掘信息从而确定用户的个性爱好。根据这一点,人们在为对广告感兴趣的用户投放广告时,从眼前和长远的两方面出发,通过实验后发现用户的满意度确实有所提高,这样使得公司投放广告的命中率有所增加。 This passage gets the hobby of user from the log which records the surfing of a specific user during a period of time based on the idea of the action of user.According this point,when we put the adv for the user who is interested in the adv,through the experiments we find the fact that from the short and long points,the satisfied_level of our users is improved ,and we thus can improve the hit rate for our corporations.
出处 《计算机工程与应用》 CSCD 北大核心 2006年第28期225-226,232,共3页 Computer Engineering and Applications
基金 国家自然科学基金资助项目(编号:60502032)
关键词 用户行为分析 短时间满意度 长时间满意度 宏观满意度 the action of user,SPSL,LPSL,MPSL
  • 相关文献

参考文献4

  • 1张岭,马范援,叶允明,陈建国.CALA:A Web Analysis Algorithm Combined with Content Correlation Analysis Method[J].Journal of Computer Science & Technology,2003,18(1):114-117. 被引量:1
  • 2G Jeh,J Widom.Scaling personalized web search[C].In:Proceedings of the 12th International World Wide Web Conference,2003
  • 3Uri Hanani.Information filtering:overview of issues,research and systems[J].User Modeling and User-Adapted Internation,2001; (11):203~259
  • 4Belkin N J,Croft W B.Information filtering and Information retrieval:two sides of the same coin?[J].Communication of the ACM,1992;35(12):29~37

二级参考文献12

  • 1Monika Henzinger. Link analysis in Web information retrieval. IEEE Data Engineering Bulletin,Sept., 2000, pp.3-8, http://research.microsoff.com/research/db/debull/
  • 2Brin S, Page L. The anatomy of a large-scale hypertextual Web search engine. In Proc. the WWW7 Conference, Brisbane, Australia, April, 1998, pp.107-117.
  • 3Alberto O Mendelzon, Davood Rafiei. What do the neighbors think? Computing Web page reputations.IEEE Data Engineering Bulletin, Brisbane, Australia,September, 2000, pp.9-16.
  • 4Zhang Dell et al. An efficient algorithm to rank Web resources. Computer Networks, 2000, 33: 449-455.
  • 5Taher H Haveliwala. Efficient computing of PageRank.Stanford Database Group Technical Report, 1999.
  • 6Lawrence S, Giles C L. Accessibility of information on the Web. Nature, 1999, 400: 107-109.
  • 7Dean J, Henzinger M R. Finding related pages on the Web. In Proc. the WWW8 Conference, Toronto,Canada, May, 1999, pp.389-401.
  • 8Wong S K Met al. On modeling of information retrieval concepts in vector spaces. ACM Transactions on Database Systems, 1987, 12(2): 299-321.
  • 9Google. http://www.google.com
  • 10AltaVista. http://www.altavista.com

同被引文献43

引证文献7

二级引证文献14

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