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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...
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Jan 23 2004  
  Improving the effectiveness of information retrieval with local context analysis
Xu J., Croft W. ACM Transactions on Information Systems 18(1): 79-112, 2000.  Type: Article

This good, solid paper addresses the word mismatch problem (that is, different words for a single concept) with query expansion, using the local context supplied by top-ranked documents in a presearch to identify good term associations...
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Apr 1 2000  

   
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