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  1. Sormunen, E.; Kekäläinen, J.; Koivisto, J.; Järvelin, K.: Document text characteristics affect the ranking of the most relevant documents by expanded structured queries (2001) 5.78 
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  2. Croft, W.B.; Harper, D.J.: Using probabilistic models of document retrieval without relevance information (1979) 5.78 
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  3. Robertson, S.E.; Sparck Jones, K.: Simple, proven approaches to text retrieval (1997) 5.78 
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  4. Crestani, F.: Combination of similarity measures for effective spoken document retrieval (2003) 5.78 
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  5. White, K.J.; Sutcliffe, R.F.E.: Applying incremental tree induction to retrieval : from manuals and medical texts (2006) 5.78 
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  6. Lin, J.; Katz, B.: Building a reusable test collection for question answering (2006) 5.78 
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  7. Stock, W.G.: On relevance distributions (2006) 5.78 
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  8. Watters, C.; Amoudi, A.: Geosearcher : location-based ranking of search engine results (2003) 5.78 
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  9. López-Pujalte, C.; Guerrero-Bote, V.P.; Moya-Anegón, F. de: Order-based fitness functions for genetic algorithms applied to relevance feedback (2003) 5.78 
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  10. Ruthven, T.; Lalmas, M.; Rijsbergen, K.van: Incorporating user research behavior into relevance feedback (2003) 5.78 
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  11. Widyantoro, D.H.; Ioerger, T.R.; Yen, J.: Learning user Interest dynamics with a three-descriptor representation (2001) 5.78 
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  12. Chen, Z.; Meng, X.; Fowler, R.H.; Zhu, B.: Real-time adaptive feature and document learning for Web search (2001) 5.78 
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  13. Berry, M.W.; Browne, M.: Understanding search engines : mathematical modeling and text retrieval (1999) 5.78 
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  14. Wills, R.S.: Google's PageRank : the math behind the search engine (2006) 5.78 
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  15. Käki, M.: fKWIC: frequency-based Keyword-in-Context Index for filtering Web search results (2006) 5.78 
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  16. Shah, B.; Raghavan, V.; Dhatric, P.; Zhao, X.: ¬A cluster-based approach for efficient content-based image retrieval using a similarity-preserving space transformation method (2006) 5.78 
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  17. Austin, D.: How Google finds your needle in the Web's haystack : as we'll see, the trick is to ask the web itself to rank the importance of pages... (2006) 5.78 
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  18. Bodoff, D.; Wong, S.P.-S.: Documents and queries as random variables : history and implications (2006) 5.78 
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  19. Bar-Ilan, J.; Levene, M.; Mat-Hassan, M.: Methods for evaluating dynamic changes in search engine rankings : a case study (2006) 5.78 
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  20. MacFarlane, A.; McCann, J.A.; Robertson, S.E.: Parallel methods for the generation of partitioned inverted files (2005) 5.78 
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