Water Balances and Multidimensional Models

Author(s):  
James L. Martin ◽  
Steven C. McCutcheon ◽  
Robert W. Schottman



Author(s):  
Timothy C. Bartholomaus ◽  
John F. Stamm ◽  
Barry Hecht ◽  
Geof Syphers


2012 ◽  
Vol 18 (1) ◽  
pp. 37-50 ◽  
Author(s):  
A. S. BHASKAR ◽  
C. WELTY
Keyword(s):  


2007 ◽  
Vol 87 (3) ◽  
pp. 337-346 ◽  
Author(s):  
Xi-Bin Ji ◽  
Er-Si Kang ◽  
Ren-Sheng Chen ◽  
Wen-Zhi Zhao ◽  
Zhi-Hui Zhang ◽  
...  


2009 ◽  
Vol 08 (01) ◽  
pp. 53-66
Author(s):  
Yun-jie (Calvin) Xu ◽  
Kai Huang (Joseph) Tan

User studies in information science have recognised relevance as a multidimensional construct. An implication of multidimensional relevance is that a user's information need should be modeled by multiple data structures to represent different relevance dimensions. While the extant literature has attempted to model multiple dimensions of a user's information need, the fundamental assumption that a multidimensional model is better than a uni-dimensional model has not been addressed. This study seeks to test this assumption. Our results indicate that a retrieval system that models both topicality and the novelty dimension of a users' information need outperforms a system with a uni-dimensional model.







2004 ◽  
Vol 39 (11) ◽  
pp. 1793-1802 ◽  
Author(s):  
J.Sebastián Lekanda ◽  
J.Ricardo Pérez-Correa


Author(s):  
J. M. Vose ◽  
W. T. Swank
Keyword(s):  


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