基于无相关性判定的情报检索系统排序方法

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摘要情报检索系统评价中相关性的判定为评价带来了很大的困难。探寻一种无需相关性判定的情报检索系统评价方法已成为众多研究者关注的目标。通过介绍英国Strathclyde大学ShengliWu和FabioCrestani,提出的一些评价方法及其实验结果。

作者李明珍

机构地区南开大学图书馆学系

出处《情报杂志》 CSSCI 北大核心 2005年第6期60-63,共4页 Journal of Intelligence

关键词相关性判定情报检索系统排序方法系统评价方法研究者

参考文献5

1I. Soboroff,C. Nicholas,P. Cohan. Ranking Retrieval Systems without Relevance Judgements. In proceedings of the 24 Annual International ACM SIGIR Conference, New Orleans, Louisiana, USA, September, 2001.
2J.K. Callan, M. Connell, A. Du. Automatic Discovery of Language Models for Text Databases. In Proceedings of ACM SIGMOD International Conference,Philadephia, USA, May 1999.
3E.M. Voorhees, D. K. Harman, editors. Proceedings of 5 th Text Retrieval Conferenee, Gaithersburg, Maryland, USA, November, 1996.
4S. Wu, F. Crestani. Data Fusion with Estimated Weights. In Proceedings of the Eleventh International Conference on Information and Knowledge Management,McLean, USA, November 2001.
5Shengli Wu, Fabio Crestani. Methods for Ranking Information Retrieval Systems Without Relevance Judgements. In Proceedings of the 2003 ACM Symposium on Applied Computing, Glasgow, UK, March 2003.

情报杂志

2005年第6期

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