Construction and Adaptability Analysis of User’s Preference Model Based on Check-in Data in LBSN

2021 ◽  
Author(s):  
Yuanbang Li ◽  
Shi Dong ◽  
Chi Xu ◽  
Ping Liu
Keyword(s):  
Preference Model ◽  
Model Based

scholarly journals Preference-based Search using Example-Critiquing with Suggestions

2006 ◽  
Vol 27 ◽  
pp. 465-503 ◽  
Author(s):  
P. Viappiani ◽  
B. Faltings ◽  
P. Pu
Keyword(s):  
Large Collection ◽  
Preference Model ◽  
Model Based ◽  
Interactive Tools ◽  
Preference Models ◽  
Example Critiquing ◽  
Current Preference

We consider interactive tools that help users search for their most preferred item in a large collection of options. In particular, we examine example-critiquing, a technique for enabling users to incrementally construct preference models by critiquing example options that are presented to them. We present novel techniques for improving the example-critiquing technology by adding suggestions to its displayed options. Such suggestions are calculated based on an analysis of users' current preference model and their potential hidden preferences. We evaluate the performance of our model-based suggestion techniques with both synthetic and real users. Results show that such suggestions are highly attractive to users and can stimulate them to express more preferences to improve the chance of identifying their most preferred item by up to 78%.

scholarly journals A Viewer Preference Model Based on Physiological Feedback

2014 ◽  
Vol 24 (3) ◽  
pp. 316-322
Author(s):  
Tae-Suh Park ◽  
Byoung-Hee Kim ◽  
Byoung-Tak Zhang
Keyword(s):  
Preference Model ◽  
Model Based ◽  
Physiological Feedback
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