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Turtle, Howard
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Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002
Allan J., Aslam J., Belkin N., Buckley C., Callan J., Croft B., Dumais S., Fuhr N., Harman D., Harper D., Hiemstra D., Hofmann T., Hovy E., Kraaij W., Lafferty J., Lavrenko V., Lewis D., Liddy L., Manmatha R., McCallum A., Ponte J., Prager J., Radev D., Resnik P., Robertson S., Rosenfeld R., Roukos S., Sanderson M., Schwartz R., Singhal A., Smeaton A., Turtle H., Voorhees E., Weischedel R., Xu J., Zhai C. ACM SIGIR Forum 37(1): 31-47, 2003. Type: Article
In the last ten years, information retrieval (IR) has evolved from a niche field into an important and multifaceted discipline, and has produced measurable results that affect the daily life of millions. No less important, its theoreti...
...
Jan 23 2004
PIC matrices: a computationally tractable class of probabilistic query operators
Greiff W., Croft W., Turtle H. ACM Transactions on Information Systems 17(4): 367-405, 1999. Type: Article
This paper offers a most interesting view of researchers seeking to improve the probabilistic model of information retrieval in order to achieve improved performance over the leading model (the vector space model with
p...
Jan 1 2000
Natural language vs. Boolean query evaluation: a comparison of retrieval performance
Turtle H. Research and development in information retrieval (Proceedings of the 17th annual international ACM SIGIR conference, Dublin, Ireland, Jul 3-6, 1994) 212-220, 1994. Type: Proceedings
Boolean query formulation has long been the traditional technique for searching text databases, despite the difficulties many users have in stating their information needs in terms of this formal logic. This paper describes the results...
...
Nov 1 1995
Evaluation of an inference network-based retrieval model
Turtle H., Croft W. (ed) ACM Transactions on Information Systems 9(3): 187-222, 1991. Type: Article
Turtle and Croft advocate the use of inference networks in information retrieval systems. In their models, both document collections and queries are represented by networks; multiple representations can be handled. The authors compar...
...
May 1 1993
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