- author = "Weiguo Fan and Ming Luo and Li Wang and Wensi Xi and Edward A. Fox",
- title = "Tuning before feedback: combining ranking function discovery and blind feedback for robust retrieval",
- booktitle = "the Proceedings of the 27th Annual International ACM SIGIR Conference",
- year = "2004",
- pages = "138--145",
- address = "Sheffield, United Kingdom",
- publisher_address = "New York, NY, USA",
- month = "25-29 " # jul,
- organisation = "SIGIR",
- publisher = "ACM",
- keywords = "genetic algorithms, genetic programming, intelligent information retrieval, search engine, ranking function discovery, information retrieval, blind feedback",
- ISBN = "1-58113-881-4",
-
URL = "
http://filebox.vt.edu/users/wfan/paper/ARRANGER/p52-Fan.pdf",
-
URL = "
http://doi.acm.org/10.1145/1008992.1009018",
-
DOI = "
doi:10.1145/1008992.1009018",
- size = "8 pages",
- abstract = "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 percent over the baseline Okapi system.",
-
notes = "http://www.sigir.org/sigir2004/
Also known as \cite{Fan:2004:TBF:1008992.1009018}",
