个性化信息检索可以根据用户的检索兴趣返回个性化的检索结果。该文构建了个性化检索标注系统和个性化检索评测系统,生成个性化检索系统所需的语料集;并提出了以用户为中心的基于人工标注的个性化检索评价方法。个性化检索评测系统采用了NIST所建立的评价体系,根据用户的标注结果对个性化检索系统的性能进行自动评价,并给出量化、直观的性能指标。
Abstract
Personalized information retrieval can grasp the users’ retrieval intention and find personalized results. A manual annotation system is designed in this paper to generate the corpus for evaluating personalized IR system. Then the User-centered manual annotation strategy is proposed for personalized IR evaluation. The evaluation system adopts the evaluation scheme provided by NIST performs an automatic evaluation according to the manually annotated results,and generates the quantified and straight-forward measurement results.
关键词
计算机应用 /
中文信息处理 /
个性化信息检索 /
以用户为中心 /
评价方法
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Key words
computer application /
Chinese information processing /
personalized information retrieval /
user-centered /
evaluation method
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参考文献
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[4] P.A. Chirita, W. Nejdl, R. Paiu, C Kohlsch tter. Using ODP Metadata to Personalize Search[C]//Proceedings of the 28th annual international ACM SIGIR, Salvador, 2005. New York, ACM Press, 2005: 178-185.
[5] J Teevan, ST Dumais, E Horvitz. Personalizing Search via Automated Analysis of Interests and Activities[C]//Proceedings of the 28th annual international ACM SIGIR, Salvador, 2005. New York, ACM Press, 2005: 178-185.
[6] R. W. White, J. M. Jose, C. J. van Rijsbergen I Ruthven. A simulated study of implicit feedback models[M]. Springer Berlin/Heidelberg, 2004: 311-326.
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脚注
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基金
国家自然科学基金资助项目(60736044,60503072,60435020)
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