Discerning Relevant Model Features in a Content-based Collaborative Recommender System

2010 ◽  
pp. 429-455 ◽  
Author(s):  
Alejandro Bellogín ◽  
Iván Cantador ◽  
Pablo Castells ◽  
Álvaro Ortigosa
Author(s):  
Khaled Belahcene ◽  
Christophe Labreuche ◽  
Nicolas Maudet ◽  
Vincent Mousseau ◽  
Wassila Ouerdane

We address the problem of multicriteria ordinalsorting through the lens of accountability, i.e. theability of a human decision-maker to own a recommendationmade by the system. We put forward anumber of model features that would favor the capabilityto support the recommendation with a convincingexplanation. To account for that, we designa recommender system implementing and formalizingsuch features. This system outputs explanationsdefined under the form of specific argumentschemes tailored to represent the specific rules ofthe model. At the end, we discuss possible andpromising argumentative perspectives.


1987 ◽  
Vol 57 (01) ◽  
pp. 118-122 ◽  
Author(s):  
C Thomas Kisker

SummaryAnimal models have added significantly to our understanding of adult hemorrhagic and thrombotic diseases. Few models, however, have been developed for studies of the hemostatic disorders in the fetus and newborn. This report reviews the current information on animal models of fetal and neonatal hemostasis. The requirements of a relevant model are addressed and previous studies using fetal and neonatal animal models are reviewed. A recommendation of a single animal for all studies of fetal and neonatal hemostasis is not possible. However, the lamb has been the most frequently studied and appears to provide relevant information regarding normal development and the factors which may adversely influence hemostasis in the fetus and newborn.


2018 ◽  
Vol 6 (3) ◽  
pp. 431-433
Author(s):  
Samir N Ajani ◽  
◽  
Lokesh M Heda ◽  
Santosh Kumar Sahu ◽  
Manish M Motghare ◽  
...  

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