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Ming Luo

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Ming Luo

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Publications by Ming Luo (bibliography)

» 2008 «

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Zhou, Rong, Wei, Ren, Chen, Gang, Yang, Zhonghua, Shen, Haifeng, Zhang, Jingbing and Luo, Ming (2008): Ant Colony Inspired Self-Healing for Resource Allocation in Service-Oriented Environment Considering Resource Breakdown. In: 2008 IEEE / WIC / ACM International Conference on Web Intelligence WI 2008 9-12 December, 2008, Sydney, NSW, Australia. pp. 66-69. Available online

» 2004 «

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Fan, Weiguo, Luo, Ming, Wang, Li, Xi, Wensi and Fox, Edward A. (2004): Tuning before feedback: combining ranking discovery and blind feedback for robust retrieval. In: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2004. pp. 138-145. Available online

“Both ranking functions and user queries are very important factors affecting a search engine's performance. Prior research has looked at how to improve ad-hoc retrieval performance for existing queries while tuning the ranking function, or modify and expand user queries using a fixed ranking scheme using blind feedback. However, almost no research has looked at how to combine ranking function tuning and blind feedback together to improve ad-hoc retrieval performance. In this paper, we look at the performance improvement for ad-hoc retrieval from a more integrated point of view by combining the merits of both techniques. In particular, we argue that the ranking function should be tuned first, using user-provided queries, before applying the blind feedback technique. The intuition is that highly-tuned ranking offers more high quality documents at the top of the hit list, thus offers a stronger baseline for blind feedback. We verify this integrated model in a large scale heterogeneous collection and the experimental results show that combining ranking function tuning and blind feedback can improve search performance by almost 30% over the baseline Okapi system.”

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Gu, Zhenmei and Luo, Ming (2004): Comparison of using passages and documents for blind relevance feedback in information retrieval. In: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2004. pp. 482-483. Available online

“This paper compares document blind feedback and passage blind feedback in Information Retrieval (IR), based on the work during the NRRC 2003 Reliable Information Access Summer workshop. The analysis of our experimental results shows overall consistency on the performance impact of using passages and documents for blind feedback. However, it is observed that the behavior of passage blind feedback, compared to document blind feedback, is both system dependent and topic dependent. The relationships between the performance impact of passage blind feedback and the number of feedback terms and the topic's average relevant document length, respectively, are examined to illustrate these dependencies.”

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