scholarly journals In Search of a Preferred Preference Elicitation Method: A Test of the Internal Consistency of Choice and Matching Tasks

Author(s):  
Arthur E. Attema ◽  
Werner Brouwer

2021 ◽  
Author(s):  
Nunung Nurul Qomariyah ◽  
Dimitar Kazakov

Abstract The massive growth of internet users nowadays can be a big opportunity for the businesses to promote their services. This opportunity is not only for e-commerce, but also for other e-services, such as e-tourism. In this paper, we propose an approach of personalized recommender system with pairwise preference elicitation for the e-tourism domain area. We used a combination of Genetic Agorithm with pairwise user preference elicitation approach. The advantages of pairwise preference elicitation method, as opposed to the pointwise method, have been shown in many studies, including to reduce incosistency and confusion of a rating number. We also performed a user evaluation study by inviting 24 participants to examine the proposed system and publish the POIs dataset which contains 201 attractions used in this study.





Dialogue ◽  
2013 ◽  
Vol 52 (1) ◽  
pp. 43-60
Author(s):  
JEAN BACCELLI

Cette note examine la partie conceptuelle d’un article de Sen, «Internal Consistency of Choice». Elle isole deux thèses parmi celles que Sen défend. Une première, négative, est qu’aucune condition formelle de cohérence du choix n’est normativement valable sans exception. Une seconde, positive, est qu’une condition formelle de cohérence du choix n’est normativement valable que sous des suppositions faisant intervenir la préférence. Nous procédons à une analyse détaillée des choix énigmatiques dont Sen prend argument et affirmons que cet examen mène à remettre en cause la thèse négative, mais d’une manière subtile qui confirme — même renforce — la thèse positive.



Econometrica ◽  
1993 ◽  
Vol 61 (3) ◽  
pp. 495 ◽  
Author(s):  
Amartya Sen


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Nunung Nurul Qomariyah ◽  
Dimitar Kazakov

AbstractThe massive growth of internet users nowadays can be a big opportunity for the businesses to promote their services. This opportunity is not only for e-commerce, but also for other e-services, such as e-tourism. In this paper, we propose an approach of personalized recommender system with pairwise preference elicitation for the e-tourism domain area. We used a combination of Genetic Agorithm with pairwise user preference elicitation approach. The advantages of pairwise preference elicitation method, as opposed to the pointwise method, have been shown in many studies, including to reduce incosistency and confusion of a rating number. We also performed a user evaluation study by inviting 24 participants to examine the proposed system and publish the POIs dataset which contains 201 attractions used in this study.



2017 ◽  
Vol 237 ◽  
pp. 92-100 ◽  
Author(s):  
Quanli Gao ◽  
Ling Gao ◽  
Jianping Fan ◽  
Jie Ren


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